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Preprint ARTICLE | doi:10.20944/preprints201710.0129.v1

Error Evolution in Multi-Step Ahead Streamflow Forecasting for the Operation of Hydropower Reservoirs

Georgia Papacharalampous, Hristos Tyralis, Demetris Koutsoyiannis

Subject: Engineering, Civil Engineering Keywords: hydropower; errors; multi-step ahead forecasting; recursive method; simulations

Online: 19 October 2017 (02:34:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201710.0051.v1

Resource Demand Forecasting Model Based on Dynamic Cloud Workload

Chunyan An, Jiantao Zhou

Subject: Computer Science And Mathematics, Computational Mathematics Keywords: cloud computing; workload model; workload-aware resource forecasting model

Online: 9 October 2017 (12:40:34 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201707.0013.v1

Interannual Variability and Seasonal Predictability of Wind and Solar Resources

Nir Y. Krakauer, Daniel S. Cohan

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: renewable energy; solar; wind; interannual variability; seasonal forecasting; teleconnections

Online: 7 July 2017 (03:55:54 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201703.0231.v1

China's Copper Demand Forecasting Based on System Dynamics Model

Jianbo Yang, Xin Li, Qunyi Liu

Subject: Chemistry And Materials Science, Materials Science And Technology Keywords: copper resources; demand forecasting; system dynamics model; sustainability development

Online: 31 March 2017 (10:50:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201608.0204.v1

A Grey Forecasting Approach for the Sustainability Performance of Logistics Companies

Min-Chun Yu, Chia-Nan Wang, Nguyen-Nhu-Y Ho

Subject: Business, Economics And Management, Economics Keywords: logistics industry; sustainability; data envelopment analysis (DEA); grey forecasting

Online: 25 August 2016 (10:12:27 CEST)

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Preprint REVIEW | doi:10.20944/preprints201905.0175.v1

Demand Prediction with Machine Learning Models; State of the Art and a Systematic Review of Advances

Amir Mosavi, Sina Faizollahzadeh Ardabili, Shahabodin Shamshirband

Subject: Engineering, Electrical And Electronic Engineering Keywords: demand prediction, energy systems; machine learning; artificial neural network (ANN); support vector machines (SVM); neuro-fuzzy; ANFIS; wavelet neural network (WNN); big data; decision tree (DT); ensemble learning; hybrid models; data science; deep learning; renewable energies; energy informatics; prediction; forecasting; energy demand

Online: 14 May 2019 (14:00:40 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.2107.v1

Exploring Round Dataset for Domain Generalization in Autonomous Vehicle Trajectory Prediction

Zikai Zhang

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Machine Learning; Domain Generalization; Driving Behavior; Motion Forecasting; Trajectory Prediction

Online: 26 September 2024 (14:44:48 CEST)

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Preprint REVIEW | doi:10.20944/preprints202409.1394.v1

A Systematic Review of the Current State of Numerical Groundwater Modeling in Latin American Countries: Challenges and Future Research

Baltazar Leo Lozano Hernández, Ana Elizabeth Marín Celestino, Diego Armando Martínez Cruz, José Alfredo Ramos Leal, Eliseo Hernández Pérez, Joel García Pazos, Oscar Guadalupe Almanza Tovar

Subject: Environmental And Earth Sciences, Water Science And Technology Keywords: FEFLOW; Flow simulation; Forecasting; Groundwater; Latin America; MODFLOW; Numerical modeling

Online: 18 September 2024 (10:55:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.0203.v1

Development of Urban Flood Forecasting System for Dhaka City Using MIKE+

Md Shahadat Hossain, Noshin Saiyara, Tarun Kanti Magumdar, Liton Chandra Mazumder, Shafiqul Islam, Md Sazzad Hossain, Sarder Udoy Raihan, Md Arifuzzaman Bhuyan

Subject: Engineering, Civil Engineering Keywords: Urban Flood; Dhaka; MIKE+; Real-time flood forecasting; Hydrodynamic modeling

Online: 4 September 2024 (04:50:55 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.2260.v1

Research on the Application of Tbm Advanced Geological Prediction Based on Ellipsoidal Positioning Velocity Analysis

Zhen Gao, Xin Rong, Wei Wang, Bin Huang, Junqiang Liu

Subject: Environmental And Earth Sciences, Geophysics And Geology Keywords: Seismic exploration; Advanced geological forecasting; Velocity analysis; TBM construction tunnel

Online: 30 August 2024 (14:55:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.0947.v1

Forecasting Lattice and Point Spatial Data: Comparison of Unilateral and Multilateral Sar Models

Carlo Grillenzoni

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Contiguity matrices; Consistent estimation; Spatial autoregression; Spatial data; Spatial forecasting.

Online: 13 August 2024 (13:03:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1246.v1

xLSTMTime: Long-Term Time Series Forecasting With xLSTM

Musleh Alharthi, Ausif Mahmood

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: xLSTM; transformer; linear network; time series forecasting; state-space model

Online: 16 July 2024 (04:06:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1434.v1

Forecasting Volatility of SOFIX Index with GARCH Models

Plamen Petkov, Margarita Shopova, Tihomir Varbanov, Evgeni Ovchinnikov, Angelin Lalev

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: SOFIX; forecasting; modeling; GARCH; EGARCH; IGARCH; Component GARCH; GJR-GARCH

Online: 20 June 2024 (14:43:08 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0490.v1

Shor-Term Forecasting of Photovoltaic Power Using MLPNN, CNN AND kNN

Kelachukwu Iheanetu, KeChrist Obileke

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: renewable energy; solar; photovoltaic; forecasting; data-driven; machine learning; modelling

Online: 8 May 2024 (15:29:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0318.v1

A Hybrid Conv-LSTM-Attention Framework for Short-Term PV Power Forecasting Incorporating Data from Neighboring Stations

Feng Hu, Linghua Zhang, Jiaqi Wang

Subject: Engineering, Energy And Fuel Technology Keywords: photovoltaic power forecasting; LSTM; CNN; attention mechanism; Conv-LSTM module

Online: 7 May 2024 (02:43:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1422.v1

A City Shared Bike Dispatch Approach Based on Temporal Graph Convolutional Network and Genetic Algorithm

Ji Ma, Shenggen Zheng, Shangjing Lin, Yonghong Cheng

Subject: Engineering, Transportation Science And Technology Keywords: Spatio-temporal demand forecasting; Bike sharing; T-GCN; Scheduling optimization

Online: 23 April 2024 (11:49:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.1218.v1

Forecasting Lake Nokoué Water Levels Using Long Short-Term Memory Network

Namwinwelbere Dabire, Eugene C. Ezin, Adandedji M. Firmin

Subject: Environmental And Earth Sciences, Water Science And Technology Keywords: forecasting; Machine learning algorithms; recurrent artificial neural network; lake Nokoue.

Online: 20 March 2024 (11:36:02 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.1244.v1

Fueling the Future: A Comprehensive Analysis and Forecast of Fuel Consumption Trends in U.S. Electricity Generation

Md Monjur Hossain Bhuiyan, Ahmed Nazmus Sakib, Syed Ishmam Alawee, Talayeh Razzaghi

Subject: Engineering, Energy And Fuel Technology Keywords: Fuel Consumption; Forecasting; Time Series Analysis; Sustainable Energy Policies; RMSE.

Online: 16 January 2024 (12:35:01 CET)

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Preprint REVIEW | doi:10.20944/preprints202310.0057.v1

Bibliometric Analysis of Climate Change Impacts on Photovoltaic Energy Production

Nícolas MFTS Araújo, Raphael Abrahão

Subject: Environmental And Earth Sciences, Sustainable Science And Technology Keywords: Scientific mapping; greenhouse effect; renewable energy; energy generation; forecasting; review

Online: 2 October 2023 (11:59:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.2068.v1

Application Raindrop Size Distribution Base on LSTM in Precipitation Forecasting in Guizhou

Wang Fu-Zeng, An Xue-Jiao, Wang Qiu-Song, Gu Xiao-Ping, Li Zi-Xin

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: Raindrop Size Distribution; Microphysical Characteristics; LSMT Neural Network; Precipitation Forecasting

Online: 30 August 2023 (09:47:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.1744.v1

Optimization of Resource Management Allocation for Enterprise Benefit Based on Macroeconomic Prediction Model

Qian Zhong

Subject: Business, Economics And Management, Business And Management Keywords: Macroeconomic Forecasting Model; Scheduling Algorithm; Enterprise Benefit Optimization; Resource Management

Online: 26 June 2023 (05:34:15 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0445.v1

Multi-Country and Multi-Horizon GDP Forecasting Using Temporal Fusion Transformers

Juan Laborda, Sonia Ruano, Ignacio Zamanillo

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: GDP; deep learning; time fusion transformers; multi-horizon forecasting; interpretability

Online: 8 May 2023 (04:47:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0144.v1

Impact of Covid-19 Pandemic on Demand and Demand Forecasting in a Furniture Wholesale Company

Riadh Al-Haidari, Shrouq Al-Rawashdeh, Adam Zeidan, Joshua Omambala, Nagendra Nagarur

Subject: Engineering, Other Keywords: COVID-19; Machine learning; Demand Forecasting; Neural network; LSTM ;

Online: 10 April 2023 (04:27:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202301.0006.v1

Econometrics Analysis of Financial Risk and Earnings Management in Dual System Banking for Asean-5 Countries

Wita Ramadhanti, Sri Mangesti Rahayu, Safrina Muarrifah

Subject: Business, Economics And Management, Business And Management Keywords: Financial distress; Dual system banking; Loan Loss Provission; forecasting; econometrics

Online: 3 January 2023 (07:19:41 CET)

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Nowadays, many Muslim-majority countries have implemented a dual banking system, namely the sharia and conventional systems. The development of Islamic banks is to fulfill the Muslims' need for the existence of halal transactions in financial institutions. However, in some countries, it turns out that conventional banks still dominate the country's economy. Because of that, it is necessary to see whether there are differences in financial risk and Earnings management between Islamic and conventional banks. The samples are conventional and Islamic banks in Southeast Asia, analyzed by the purposive sampling method from 2010-2019. The analytical tool used is the statistical difference test and economometrics analysis using generalized least square (GLS) regression with panel data (time series and cross-sectional data). These models are intended to forecasting the macroeconomics effects in applying dual banking system in one country or region. The results using non parametrics means difference test showed that the first hypothesis is accepted It means that Earnings management in conventional banks is greater than in Islamic banks. The Random Model Effect (REM) for second and third hypotheses testing on Conventional banks shows the Bankruptcy Risk and NPL do not affect the dependent variable Earnings Management (LLP). While fixed effect model testing on Islamic banks, the second and third hypothesis testing is rejected. Therefor Islamic Banks the value of Bankruptcy Risk (z-score) and the value of Non-Performing Loans (NPL) do not affect Earnings management. It also means that hypothesis 2 and 3 are rejected both in conventional as well as Islamic Banking. Sensitivity analysis for conventional as well as Islamic banking altogether using fixed effect model shows that the second and third hypotheses show that the independent variables (Bankruptcy Risk and NPL) do not affect the dependent variable Earnings Management (LLP). These results can be concluded that Islamic bank are enganged in less earnings management. Therefor in the the long run there are still more research that should conduct in comparing dual banking system in one region.

Preprint ARTICLE | doi:10.20944/preprints202211.0278.v1

LSTM Applied for Commodity Futures Price Forecast

Gabriel Schneider de Jesus, Aurélio Faustino Hoppe, Andreza Sartori, Valderi Reis Quietinho Leithardt

Subject: Computer Science And Mathematics, Computer Science Keywords: Long Short-Term Memory; time series forecasting; commodities; technical analysis

Online: 15 November 2022 (07:00:55 CET)

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Preprint REVIEW | doi:10.20944/preprints202208.0031.v1

Fault Prediction Based on Leakage Current in Contaminated Insulators Using Enhanced Time Series Forecasting Models

Nemesio Fava Sopelsa Neto, Stefano Frizzo Stefenon, Luiz Henrique Meyer, Raúl García Ovejero, Valderi Reis Quietinho Leithardt

Subject: Engineering, Electrical And Electronic Engineering Keywords: LSTM; GMDH; ANFIS; Ensemble Learning Models; Wavelet; Time Series Forecasting

Online: 2 August 2022 (03:50:14 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202202.0192.v1

Inequalities in Temporal Effects on Cervical Cancer Mortality in States in Different Geographic Regions of Brazil: An Ecological Study

Karina Cardoso Meira, Carinne Magnago, Angelo Braga Mendonça, Stephane Fernanda Soares Duarte, Pedro Henrique Oliveira de Freitas, Juliano dos Santos, Dyego Leando Bezerra de Souza, Taynãna César Simões

Subject: Medicine And Pharmacology, Obstetrics And Gynaecology Keywords: uterine cervical neoplasms; mortality; age-period-cohort analysis; forecasting; Brazil

Online: 16 February 2022 (05:03:16 CET)

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Preprint ARTICLE | doi:10.20944/preprints202003.0096.v1

Temporal Convolutional Networks Applied to Energy-related Time Series Forecasting

Pedro Lara-Benítez, Manuel Carranza-García, José M. Luna-Romera, José C. Riquelme

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Deep learning; Energy demand; Temporal convolutional network; Time series forecasting

Online: 5 March 2020 (15:02:37 CET)

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Preprint ARTICLE | doi:10.20944/preprints201806.0365.v1

Time Series Forecasting Using a Two-level Multi-Objective Genetic Algorithm: A Case Study of Maintenance Cost Data for Tunnel Fans

Yamur K. Al-Douri, Hussan Hamodi, Jan Lundberg

Subject: Engineering, Control And Systems Engineering Keywords: ARIMA model; data forecasting; multi-objective genetic algorithm; regression model

Online: 24 June 2018 (07:48:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201609.0103.v1

Predicting the Outcome of NBA Playoffs Based on Maximum Entropy Principle

Ge Cheng, Zhenyu Zhang, Moses Ntanda Kyebambe, Nasser Kimbugwe

Subject: Computer Science And Mathematics, Computational Mathematics Keywords: Maximum entropy model; K-means clustering; accuracy; classification; sports forecasting

Online: 27 September 2016 (11:10:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201607.0001.v1

Forecasting Wholesale Electricity Prices With Artificial Intelligence Models: The Italian Case

Murad Harasheh

Subject: Business, Economics And Management, Finance Keywords: PUN, artificial intelligence models, regression tree, bootstrap aggregation, forecasting error

Online: 2 July 2016 (03:48:36 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.0185.v2

A Preliminary Fuzzy Inference System for Predicting Atmospheric Ozone in an Intermountain Basin

John R. Lawson, Seth N. Lyman

Subject: Environmental And Earth Sciences, Pollution Keywords: fuzzy logic; machine intelligence; ozone; forecasting; air quality; meteorology; decision-making

Online: 9 September 2024 (12:47:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1119.v1

Analyzing Financial Market Trends in Cryptocurrency and Stock Prices Using CNN-LSTM Models

Xu Zhang

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Cryptocurrencies; price forecasting; artificial intelligence; deep learning; financial technology

Online: 15 July 2024 (04:53:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.0808.v1

A Hybrid Forecasting Structure Based On Arima And Artificial Neural Network Models

Adil Atesongun, Mehmet Gulsen

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: hybrid forecast; integrated forecast; multi-pattern data forecasting; forecast error classification.

Online: 10 July 2024 (10:01:00 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0905.v1

A Forecasting Model Approach: Investigating Calendar Anomalies and Volatility Patterns in the Cryptocurrency Market

Sonal Sahu, Alejandro Fonseca Ramírez, Jong-Min Kim

Subject: Business, Economics And Management, Finance Keywords: calendar anomalies; cryptocurrency; day-of-the-week effect; GARCH; volatility; forecasting

Online: 14 May 2024 (11:14:11 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0260.v1

Multivariate Hydrologycal Modelling based on Long Short Term Memory Networks for Water Level Forecasting.

Jackson B. Renteria - Mena, Douglas Plaza, Eduardo Giraldo

Subject: Engineering, Electrical And Electronic Engineering Keywords: Multivariate hydrological modeling, Time series analysis, Water level forecasting, ; LSTM.

Online: 3 April 2024 (11:08:12 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202402.1547.v1

Time Series Forecasting with Missing Values Using Multiple Models: An Application to Wind Energy Systems

Xiaoou Li

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: time series forecasting; ARIMA; neural networks; transfer learning; wind energy systems

Online: 28 February 2024 (11:27:50 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.0977.v1

Combined K-means Clustering with Neural Networks Methods for PV Short-Term Generation Load Forecasting in Electric Utilities

Alex Sleiman, Wencong Su

Subject: Engineering, Electrical And Electronic Engineering Keywords: machine learning; neural networks; PV power forecasting; smart meters; solar energy

Online: 15 November 2023 (09:52:40 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.0438.v1

Sustainability of Transport Sector Companies: Bankruptcy Prediction Based on Artificial Intelligence

Amélia Ferreira da Silva, José Henrique Brito, Mariline Lourenço, José Manuel Pereira

Subject: Business, Economics And Management, Accounting And Taxation Keywords: Artificial Intelligence; Forecasting; Business Failure; Financial Sustainability; Financial Indicators; Transport Sector

Online: 7 November 2023 (11:19:43 CET)

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Preprint ARTICLE | doi:10.20944/preprints202309.0354.v1

The Use of a Digital Brix Refractometer to Estimate Cheese-Making Constituents in Ewes’ Milk

Massimo Todaro, Riccardo Gannuscio, Isabella Mancuso, Barbara Ducato, Maria Luisa Scatassa

Subject: Biology And Life Sciences, Animal Science, Veterinary Science And Zoology Keywords: sheep milk constituents; Brix refractometer; milk protein percentages; Refractometer forecasting ability.

Online: 6 September 2023 (10:12:17 CEST)

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Preprint REVIEW | doi:10.20944/preprints202308.1578.v1

Trends on Wind Speed Forecasting: Umbrella Review of the Last 5 Years

Paulo Alexandre Costa Rocha, Carla Freitas De Andrade, André Valente Bueno, Fernanda Leite Lobo, Mona Lisa Moura de Oliveira, Jesse Van Griensven Thé, Bahram Gharabaghi

Subject: Engineering, Mechanical Engineering Keywords: forecasting; prevision; wind speed; wind power; renewable energy; Scopus base; Bibliometrix

Online: 23 August 2023 (07:27:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0934.v1

Algorithm Optimizer in GA-LSTM for Stock Price Forecasting

Yohanes Leonardus Sukestiyarno, Dian Tri Wiyanti, Lathifatul Azizah

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: Time Series; Forecasting, Deep Learning; Genetic Algorithm; Long Short-Term Memory

Online: 12 May 2023 (11:07:28 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202108.0268.v1

An Auto-Weighting Aggregative Fuzzy Collaborative Intelligence Approach for DRAM Yield Forecasting

Hsin-Chieh Wu, Tin-Chih Toly Chen

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Fuzzy collaborative intelligence; Dynamic random access memory; Fuzzy weighted intersection; Forecasting

Online: 11 August 2021 (18:08:46 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202104.0138.v1

Comparison of Forecasting Ability for Energy Consumption in BRICS: ARIMA (1,1,1) and FGM (1, 1) Models

Atif Maqbool Khan, Magdalena Osinska

Subject: Business, Economics And Management, Accounting And Taxation Keywords: Energy consumption; BRICS; GM (1, 1); Fractional-order; GREY; Forecasting accuracy

Online: 5 April 2021 (13:51:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202012.0619.v1

An Adaptive and Resilient Islanding Approach for Power System Considering Secondary Collapses

Sanaullah Kaka, Mingchao Xia, Mazhar Hussain, Ali Raza Meer, Shubash Kumar

Subject: Engineering, Automotive Engineering Keywords: Adaptive Island; Minimum spanning tree; Load forecasting; Controllable switches; Distributed generations

Online: 24 December 2020 (12:35:42 CET)

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Preprint ARTICLE | doi:10.20944/preprints202010.0565.v1

Modeling and Forecasting of Lake Malombe Fish Biomass and Catch Per Unit Effort (CPUE)

Rodgers Makwinja, Seyoum Mengistou, Emmanuel Kaunda, Tena Alemiew, Titus Phiri, Ishmael Kosamu, Chikumbusko Kaonga

Subject: Biology And Life Sciences, Anatomy And Physiology Keywords: ARIMA, CPUE, Fish biomass landings, Forecasting, Lake Malombe, Time series approach

Online: 27 October 2020 (21:04:35 CET)

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Preprint ARTICLE | doi:10.20944/preprints201811.0490.v1

Forecasting Performances of the Reduced Form VAR and Sims-Zha Bayesian VAR Models when the Multiple Time Series are Jointly Influenced by Collinearity and Autocorrelated Error

Monday Osagie Adenomon, Benjamin Agboola Oyejola

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: forecasting; time series; vector autoregression (VAR), bayesian VAR; collinearity and autocorrelation

Online: 20 November 2018 (09:03:49 CET)

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Preprint ARTICLE | doi:10.20944/preprints201807.0440.v2

Ownership Cost Comparison of Battery Electric and Non-Plugin Hybrid Vehicles: A Consumer Perspective

Lawrence Fulton

Subject: Engineering, Automotive Engineering Keywords: BEV; ownership cost analysis; design of experiments; forecasting; Monte Carlo simulation

Online: 17 August 2018 (12:59:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201609.0104.v1

Icing Forecasting of High Voltage Transmission Line Using Weighted Least Square Support Vector Machine with Fireworks Algorithm for Feature Selection

Tiannan Ma, Dongxiao Niu

Subject: Computer Science And Mathematics, Computer Science Keywords: icing forecasting; fireworks algorithm; least square support vector machine; feature selection

Online: 27 September 2016 (11:16:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1521.v1

Forecasting Temperature Trends Using SARIMAX: A Case Study in Ahmedabad City, India

Vyom Shah, Nishil Patel, Dhruvin Apurva Shah, Debabrata Swain, Manorama Mohanty, Biswaranjan Acharya, Vassilis C. Gerogiannis, Andreas Kanavos

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: temperature forecasting; weather forecasting; time series; augmented Dickey-Fuller test; seasonal autoregressive integrated moving average with eXogenous factors (SARIMAX); root mean squared error; seasonality; climate change

Online: 18 July 2024 (14:27:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.0479.v1

Enhancing Stock Price Forecasting with Generative Adversarial Networks and Conformal Prediction: A Novel Approach for Quantifying Uncertainty

Joseph Tafataona Mtetwa, Kingsley Ogudo, Sameerchand Pudaruth

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Generative Adversarial Networks; Conformal Prediction; Stock Forecasting; Uncertainty Quantification; Financial Time Series

Online: 6 July 2024 (05:27:26 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0209.v1

A Single Buyer Model of Imbalance Cost Pass-Through Pricing Forecasting under Malaysia Electricity Supply Industry

Fatin Khairunnisa Khairuddin, Farah Anishah Zaini, Mohamad Fani Sulaima, Nur Hazahsha Shamsudin, Mohd Shahrin Abu Hanifah

Subject: Engineering, Electrical And Electronic Engineering Keywords: Electricity price; Incentive Based Regulation; Electricity Market; Forecasting; Time Series; Machine Learning

Online: 2 April 2024 (12:34:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202311.1712.v1

Graph-based Neural Networks Framework using Microcontrollers for Energy-Efficient Traffic Forecasting

Sorin Zoican, Roxana Zoican, Dan Galatchi, Marius-Constantin C Vochin

Subject: Engineering, Electrical And Electronic Engineering Keywords: graph-based neural network, traffic forecasting, Internet of Things, Contiki operating system

Online: 27 November 2023 (15:00:05 CET)

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Preprint ARTICLE | doi:10.20944/preprints202309.1966.v1

Hybrid Model of VMD and LSTM for Next-Hour Wind Speed Forecasting in a Hot Desert Climate

Ghadah Alkhayat, Syed Hamid Hasan, Rashid Mehmood

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: wind speed forecasting; deep learning; LSTM; GRU; wind energy; CEEMDAN; EMD; VMD

Online: 28 September 2023 (11:41:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.1637.v1

Constraining Flood Forecasting Uncertainties through Streamflow Data Assimilation in the Tropical Andes of Peru: Case of the Vilcanota River Basin

Harold Llauca, Miguel Arestegui, Waldo Lavado-Casimiro

Subject: Environmental And Earth Sciences, Water Science And Technology Keywords: Streamflow Data Assimilation; Flood forecasting; Tropical Andes; Satellite Precipitation Products; GR4H model

Online: 25 September 2023 (09:00:46 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.1400.v1

Global and Local Approaches for Forecasting of Long-Term Natural Gas Consumption in Poland Based on Hierarchical Short Time Series

Bartłomiej Gaweł, Andrzej Paliński

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: hierarchical forecasting; short time series; local approach; global approach; household gas consumption

Online: 21 September 2023 (05:39:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202212.0534.v1

An IoT-based Bi-Cluster Forecasting using Automated ML-Model Optimization for COVID19

Hasan Tariq, Farid Touati, Damiano Crescini, Adel Ben Mnaouer

Subject: Environmental And Earth Sciences, Environmental Science Keywords: Indoor air quality; forecasting; machine learning; IoT; Covid-19; environmental mapping; pandemic.

Online: 28 December 2022 (09:10:46 CET)

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Preprint ARTICLE | doi:10.20944/preprints202004.0257.v1

Predictive Analytics of COVID-19 Using Information, Communication and Technologies

Parikshit N. Mahalle, Nilesh P. Sable, Namita P. Mahalle, Gitanjali R. Shinde

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: COVID-19; predictive analytics; forecasting models; Machine Learning Method; prediction; epidemic; pandemic

Online: 16 April 2020 (05:54:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201609.0053.v1

Applying Multi-Output Random Forest Models to Electricity Price Forecast

Camino González, José M. Mira, José A. Ojeda

Subject: Engineering, Control And Systems Engineering Keywords: electricity markets; price forecasting; multi-output models; random forests; conditional inference trees

Online: 18 September 2016 (06:16:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.0036.v1

A Mobile Phone Sales Forecasting Method Based on Attention-LSTM and Brand Exposure

Hongwei Ma, Ming Chen

Subject: Computer Science And Mathematics, Computer Science Keywords: Mobile phone sales forecasting; Brand exposure; Long short-term memory networks; Attention mechanism

Online: 2 September 2024 (08:44:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1525.v1

A Hybrid Stacking Model for Enhanced Short-Term Load Forecasting

Fusen Guo, Huadong Mo, Jianzhang Wu, Lei Pan, Hailing Zhou, Zhibo Zhang, Lin Li, Fengling Huang

Subject: Engineering, Electrical And Electronic Engineering Keywords: Smart Grid; Short Term Load Forecasting; Deep Learning; Stacking Approach; Time Series Analysis

Online: 24 June 2024 (04:24:43 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0994.v1

Solar Energy Production Forecasting: A Comparative Study of Bi-LSTM, LSTM, XGBoost Models with Activation Function Analysis

Hamed Alizadegan, Arian Radmehr, Hossein Karimi, Mohsen Asghari Ilani

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Time series forecasting; LSTM; Bi-LSTM; Deep learning; ML; XGBoost; Energy; Solar Energy

Online: 15 May 2024 (10:22:21 CEST)

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Preprint CASE REPORT | doi:10.20944/preprints202309.1851.v1

Oxygen demand forecasting and optimal scheduling of the oxygen gas system in the iron- and steel-making enterprises

Peikun Zhang, Li Wang

Subject: Engineering, Control And Systems Engineering Keywords: Iron- and steel-making enterprise; Oxygen system; Forecasting model; Scheduling model; Energy-saving

Online: 28 September 2023 (04:21:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202110.0302.v1

Application of ALO-ELM in Load Forecasting Based on Big Data

Ming He, Yi Li, Wan Zou, Xiangxi Duan

Subject: Engineering, Electrical And Electronic Engineering Keywords: load forecasting; extreme learning machine (ELM); ant lion optimization (ALO) ；parameter optimization; model.

Online: 21 October 2021 (09:34:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202104.0398.v1

A Two-Stage Polynomial and Nonlinear Growth Approach for Modeling the COVID-19 Outbreak in Mexico

Rafael Perez Abreu, Samantha Estrada, Héctor de-la-Torre-Gutiérrez

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: COVID-19; epidemic modeling; time series forecasting; nonlinear growth models; Prais-Winsten estimation

Online: 15 April 2021 (07:44:35 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1791.v1

A Fast Multi-Threshold Color Image Segmentation Algorithm Using Bayesian Forecasting Evolutionary Algorithm

Yunzhi Jiang, Wei-chang Yeh, Zhengchun Lin

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Bayesian Forecasting Evolutionary Algorithm (BFEA); Multilevel Thresholding Technique; Color Image Segmentation; Prediction Vector ;

Online: 26 June 2024 (06:34:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1584.v1

The Impact of Supply Chain Visibility on Marketing Strategies in the Fast-Moving Consumer Goods (FMCG) Industry

Samuel Holloway

Subject: Business, Economics And Management, Business And Management Keywords: Supply Chain Visibility; Marketing Strategies; FMCG Industry; Demand Forecasting; Consumer Trust, Agility; Advanced Technologies

Online: 24 June 2024 (08:03:56 CEST)

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This study explores the impact of supply chain visibility (SCV) on marketing strategies within the fast-moving consumer goods (FMCG) industry. In a rapidly evolving market characterized by complex supply chains and dynamic consumer demands, SCV offers a transformative capability by providing real-time data and insights into supply chain operations. Through semi-structured interviews with industry practitioners, the research identifies several key themes: enhanced demand forecasting, increased consumer trust through transparency, improved marketing agility, and the integration of advanced technologies. Findings suggest that SCV significantly improves the accuracy of demand forecasts by providing timely insights into inventory levels, production schedules, and market conditions. This enhanced forecasting aligns supply chain capabilities with marketing efforts, reducing stockouts and optimizing promotional activities. Moreover, SCV fosters consumer trust by enabling transparency regarding product sourcing and ethical practices, which can be effectively communicated in marketing campaigns to build brand loyalty. The agility provided by SCV allows companies to quickly adjust their marketing strategies in response to market disruptions and shifts in consumer preferences, making their campaigns more resilient and responsive. Advanced technologies such as IoT, blockchain, and analytics further enhance the benefits of SCV, providing deeper insights and more sophisticated capabilities for marketing. The study also highlights the importance of cross-functional collaboration between supply chain and marketing teams in leveraging SCV data effectively. Despite challenges such as the need for significant investment and organizational change, the advantages of SCV in enhancing marketing strategies and overall organizational performance are substantial. The research underscores SCV's critical role in shaping effective marketing strategies, offering FMCG companies a path to greater efficiency, agility, and consumer engagement in a competitive landscape.

Preprint ARTICLE | doi:10.20944/preprints202404.0404.v1

Recalibration and Recommendation for the Prediction of the California Bearing Ratio (CBR) from Dynamic Cone Penetrometer (DCP)

Jirawat Chokkerd, Artit Udomchai, Sivarit Sultornsanee, Nopanom Kaewhanam

Subject: Engineering, Civil Engineering Keywords: California Bearing Ratio; CBR; Dynamic Cone Penetrometer; DCP; Estimation, Prediction; Forecasting; Subgrade; Sand; Soil

Online: 5 April 2024 (15:56:17 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.0310.v3

Pivot Clustering to Minimize Error in Forecasting Aggregated ARMA Demand

Vladimir Kovtun, Avi Giloni, Clifford Hurvich, Sridhar Seshadri

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: forecasting aggregate demand; clustering time series; pivot clustering; ARMA model; order-up-to policy

Online: 25 October 2023 (13:20:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.0717.v1

Connection between Variations of the Probability Distribution of the Recurrence Time and Phases of the Seismic Activity

Elisa Varini, Renata Rotondi

Subject: Environmental And Earth Sciences, Environmental Science Keywords: Interevent time; Probability distributions; probabilistic forecasting; seismic cycle; statistical seismology; statistical methods; Bayesian inference

Online: 12 September 2023 (10:13:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.1581.v1

Extension of Fuzzy ELECTRE I for Evaluating Demand Forecasting Methods in Sustainable Manufacturing

Ta-Chung Chu, Thi Bich Ha Nghiem

Subject: Business, Economics And Management, Other Keywords: Demand forecasting methods; Fuzzy ELECTRE I; Extended modified discordance matrix; Hadamard product; Closeness coefficient

Online: 22 August 2023 (12:44:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.0292.v1

A Global Forecasting Approach to Large-Scale Crop Production Prediction with Time Series Transformers

Sebastian C Ibañez, Christopher Pineda Monterola

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: crop production; agricultural production; time series forecasting; artificial intelligence; transformer; machine learning; deep learning

Online: 3 August 2023 (10:34:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0111.v1

Short-Term Load Forecasting of the Greek Power System Using a Dynamic Block-Diagonal Fuzzy Neural Network

George Kandilogiannakis, Paris Mastorocostas, Athanasios Voulodimos, Constantinos Hilas

Subject: Engineering, Electrical And Electronic Engineering Keywords: Greek power system; electric load forecasting; block-diagonal neurons; fuzzy neural network; internal feedback

Online: 3 May 2023 (07:34:20 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202206.0086.v1

Leveraging Geographically Distributed Data for Influenza and SARS-CoV-2 Non-Parametric Forecasting

Pablo Boullosa, Adrián Garea, Iván Carlos Area-Carracedo, Juan Nieto, Jorge Mira

Subject: Computer Science And Mathematics, Computational Mathematics Keywords: non-parametric modeling; flu; influenza; COVID-19; SARS-CoV-2; Empirical Dynamic Modeling; forecasting

Online: 6 June 2022 (10:24:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202103.0310.v1

Unfolding Jellyfish Bloom Dynamics Along the Mediterranean Basin by Transnational Citizen Science Initiatives

Macarena Marambio, Antonio Canepa, Laura Lopez, Adam Gauci, Sonia Gueroun, Serena Zampardi, Ferdinando Boero, Ons Kefi-Daly Yahia, Mohamed Nejib Daly Yahia, Veronica Fuentes, Stefano Piraino, Alan Deidun

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Gelatinous zooplankton; Scyphozoa; Pelagia noctiluca; Rhizostoma pulmo; Forecasting system; Mitigation tool; Coastal zone management

Online: 11 March 2021 (10:57:35 CET)

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Preprint ARTICLE | doi:10.20944/preprints202011.0205.v1

Implementation of Water Demand Forecasting Model to Aid Sustainable Water Supply Chain Management in UAE

Vian Ahmed, Ahmad Saad, Hasan Saleh, Sara Saboor, Nikita Kasianov, Tahani Alnaqbi

Subject: Engineering, Control And Systems Engineering Keywords: Neural Networks; Long-Short Term Model; Water demand; Forecasting; Sustainable development goals; Water Goal.

Online: 5 November 2020 (10:17:30 CET)

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Preprint ARTICLE | doi:10.20944/preprints202007.0409.v1

Modeling and Detection of Future Cyber-Enabled DSM Data Attacks

Kostas Hatalis, Chengbo Zhao, Parv Venkitasubramaniam, Larry Snyder, Shalinee Kishore, Rick S. Blum

Subject: Engineering, Electrical And Electronic Engineering Keywords: Demand Side Management; Demand Response; Cyber-Physical Systems; Dynamic Pricing; Load Forecasting; Attack Detection

Online: 19 July 2020 (11:14:01 CEST)

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Demand-Side Management (DSM) is an essential tool to ensure power system reliability and stability. In future smart grids, certain portions of a customer’s load usage could be under the automatic control of a cyber-enabled DSM program, which selectively schedules loads as a function of electricity prices to improve power balance and grid stability. In this scenario, the security of DSM cyberinfrastructure will be critical as advanced metering infrastructure and communication systems are susceptible to cyber-attacks. Such attacks, in the form of false data injections, can manipulate customer load profiles and cause metering chaos and energy losses in the grid. The feedback mechanism between load management on the consumer side and dynamic price schemes employed by independent system operators can further exacerbate attacks. To study how this feedback mechanism may worsen attacks in future cyber-enabled DSM programs, we propose a novel mathematical framework for (i) modeling the nonlinear relationship between load management and real-time pricing, (ii) simulating residential load data and prices, (iii) creating cyber-attacks, and (iv) detecting said attacks. In this framework, we first develop time-series forecasts to model load demand and use them as inputs to an elasticity model for the price-demand relationship in the DSM loop. This work then investigates the behavior of such a feedback loop under intentional cyber-attacks. We simulate and examine load-price data under different DSM-participation levels with three types of random additive attacks: ramp, sudden, and point attacks. We conduct two investigations for the detection of DSM attacks. The first studies a supervised learning approach, with various classification models, and the second studies the performance of parametric and nonparametric change point detectors. Results conclude that higher amounts of DSM participation can exacerbate ramp and sudden attacks leading to better detection of such attacks, especially with supervised learning classifiers. We also find that nonparametric detection outperforms parametric for smaller user pools, and random point attacks are the hardest to detect with any method.

Preprint ARTICLE | doi:10.20944/preprints202004.0063.v1

A Proposal for Isotherm World Maps to Forecast the Seasonal Evolution of the SARS-CoV-2 Pandemic

Nicola Scafetta

Subject: Biology And Life Sciences, Virology Keywords: SARS-CoV-2; COVID-19; Pandemic geographical distribution; Epidemic forecasting; Weather conditions; Climatic zones.

Online: 6 April 2020 (14:11:52 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201909.0182.v1

Development of Korean Nomograms for Forecasting and Alerting Debris Flows Based on Critical Accumulated Rainfall

Dong-Ho Nam, Suk-Ho Lee, Byung-Sik Kim

Subject: Engineering, Civil Engineering Keywords: rainfall intensity; debris flow forecasting; rainfall triggering index (RTI); critical accumulated rainfall (Rc); nomogram

Online: 17 September 2019 (06:09:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201905.0361.v1

Support Vector Regression Integrated with Fruit Fly Optimization Algorithm for River Flow Forecasting in Lake Urmia Basin

Saeed Samadianfard, Salar Jarhan, Ely Salwana, Amir Mosavi, Shahaboddin Shamshirband

Subject: Engineering, Civil Engineering Keywords: river flow forecasting; optimization; M5 model tree; support vector regression; fruit fly optimization algorithm

Online: 30 May 2019 (05:33:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201905.0320.v1

Support Vecztor Regression Integrated with Fruit Fly Optimization Algorithm for River Flow Forecasting in Lake Urmia Basin

Saeed Samadianfard, Salar Jarhan, Ely Salwana, Amir Mosavi, Shahaboddin Shamshirband, Shatirah Akib

Subject: Engineering, Civil Engineering Keywords: river flow forecasting; optimization; M5 model tree; support vector regression; fruit fly optimization algorithm

Online: 27 May 2019 (13:01:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201807.0019.v1

Scalable Clustering of Individual Electrical Curves for Profiling and Bottom-up Forecasting

Benjamin Auder, Jairo Cugliari, Yannig Goude, Jean-Michel Poggi

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: Clustering; Forecasting; Hierarchical Time-Series; Individual Electrical Consumers; Scalable; Short Term; Smart Meters; Wavelets

Online: 2 July 2018 (17:43:29 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.2024.v1

Hydropower Plant Available Energy Forecasting Using Artificial Neural Network and Particle Swarm Optimization

Suriya Kaewarsa, Vanhkham Kongpaseuth

Subject: Engineering, Electrical And Electronic Engineering Keywords: energy prediction; reservoir inflow forecasting; deep learning; artificial neural network; particle swarm optimization; PSO-ANN

Online: 25 July 2024 (12:58:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.0084.v1

Leveraging Generative Artificial Intelligence for Financial Market Trading Data Management and Prediction

Xinzhu Bai, Shikai Zhuang, Hangyu Xie, Lingfeng Guo

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: ; Generative artificial intelligence, financial markets, data management, forecasting

Online: 1 July 2024 (13:07:33 CEST)

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Preprint REVIEW | doi:10.20944/preprints202312.1864.v1

Decoding Financial Futures: The Power of Numerical Indicators in Predicting Bankruptcy

Dimitris Billios, Dimitra Seretidou, Antonios Stavropoulos

Subject: Business, Economics And Management, Finance Keywords: bankruptcy; early warning; failure prediction; financial distress; prediction; forecasting; numerical indicators; statistical analysis; PRISMA standards.

Online: 25 December 2023 (10:25:37 CET)

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Preprint ARTICLE | doi:10.20944/preprints202307.1567.v1

Energy Consumption Forecasting in Commercial Buildings during the Covid-19 Pandemic: A Multivariate Multilayered Long-Short Term Memory Time-series Model with Knowledge Injection

Tan Ngoc Dinh, Gokul Sidarth Thirunavukkarasu, Mehdi Seyedmahmoudian, Saad Mekhilef, Alex Stojcevski

Subject: Engineering, Electrical And Electronic Engineering Keywords: Energy consumption prediction; Energy management; Time series forecasting; Building energy consumption forecast; Covid-19 pandemic

Online: 24 July 2023 (08:47:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202204.0073.v1

Enriching Artificial Intelligence Explanations with Knowledge Fragments

Jože Rožanec, Elena Trajkova, Inna Novalija, Patrik Zajec, Klemen Kenda, Blaž Fortuna, Dunja Mladenić

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Explainable Artificial Intelligence; Human-Centric Artificial Intelligence; Smart Manufacturing; Demand Forecasting; Industry 4.0; Industry 5.0

Online: 8 April 2022 (08:11:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202108.0246.v1

Explaining Bad Forecasts in Global Time Series Models

Jože Rožanec, Elena Trajkova, Klemen Kenda, Blaž Fortuna, Dunja Mladenić

Subject: Engineering, Electrical And Electronic Engineering Keywords: Explainable Artificial Intelligence; XAI; Time Series Forecasting; Global Time Series Models; Machine Learning; Artificial Intelligence

Online: 11 August 2021 (10:32:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201801.0051.v1

Smart Building: Use of the ANN Approach for Indoor Temperature Forecasting

Nivine Attoue, Isam Shahrour, Rafic Younes

Subject: Engineering, Control And Systems Engineering Keywords: smart building; artificial neural network (ANN); indoor; temperature; façade; outdoor; forecasting; relevance; sensors; recorded data

Online: 8 January 2018 (08:58:09 CET)

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Preprint ARTICLE | doi:10.20944/preprints202409.1615.v1

Comparative Study of Time Series Analysis Algorithms Suitable for Short-term Forecasting in Implementing Demand Response Based on AMI

Myung-joo Park, Hyo-sik Yang

Subject: Computer Science And Mathematics, Computer Science Keywords: Smart Grid, Internet of Things, SCADA, AMI, Demand Response, ARIMA, SARIMA, LSTM, SVM, Short-term Forecasting

Online: 20 September 2024 (11:28:54 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.2058.v1

The Role of Big Data Analytics in Retail Marketing and Supply Chain Optimization

Oliver Johnson, William Brown, George Wilson

Subject: Business, Economics And Management, Business And Management Keywords: Big data analytics; Retail marketing; Supply chain optimization; Customer segmentation; Demand forecasting; Personalized marketing; Ethical considerations

Online: 25 July 2024 (13:41:08 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1492.v1

Scalable and Interpretable Forecasting of Hydrological Time-Series based on Variational Gaussian Processes

Julián David Pastrana-Cortés, Julian Gil-Gonzalez, Andrés Marino Álvarez-Meza, David Augusto Cárdenas-Peña, Álvaro Angel Orozco-Gutiérrez

Subject: Engineering, Electrical And Electronic Engineering Keywords: Autoregressive models; Gaussian Process; Long Short Term Memory networks; Multi-task forecasting; Predictive Distribution; Streamflow Contributions

Online: 23 April 2024 (11:57:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202302.0383.v1

Modelling Socioeconomic Determinants of Building Fires through Backward Elimination by Robust Final Prediction Error Criterion

Albertus Untadi, Lily D Li, Michael Li, Roland Dodd

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Building fire; Socioeconomic determinants; South East Queensland; Predictive model; Forecasting; Backward elimination; Robust final predictor error

Online: 22 February 2023 (09:37:47 CET)

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Preprint TECHNICAL NOTE | doi:10.20944/preprints202209.0404.v1

Forecasting Energy Consumption Time Series Using Recurrent Neural Network in Tensorflow

Munshi Md Shafwat Yazdan, Marzieh Khosravia, Shah Saki, Md Abdullah Al Mehedi

Subject: Engineering, Energy And Fuel Technology Keywords: Recurrent Neural Network; Renewable Energy; Power consumption; Open Power System Data; Multivariate Exploratory; Time series forecasting

Online: 27 September 2022 (02:44:29 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202204.0107.v1

On the Redox-Activity and Health-Effects of Atmospheric Primary and Secondary Aerosol: Phenomenology

Francesca Costabile, Stefano Decesari, Roberta Vecchi, Franco Lucarelli, Gabriele Curci, Dario Massabò, Matteo Rinaldi, Maurizio Gualtieri, Emanuela Corsini, Elena Menegola, Silvia Canepari, Lorenzo Massimi, Stefania Argentini, Maurizio Busetto, Gianluca Di Iulio, Luca Di Liberto, Marco Paglione, Igor Petenko, Mara Russo, Angela Marinoni, Gianpietro Casasanta, Sara Valentini, Vera Bernardoni, Federica Crova, Gianluigi Valli, Alice Corina Forello, Fabio Giardi, Silvia Nava, Giulia Pazzi, Paolo Prati, Virginia Vernocchi, Teresa La Torretta, Ettore Petralia, Milena Stracquadanio, Gabriele Zanini, Gloria Melzi, Emma Nozza, Martina Iulini, Donatella Caruso, Lucia Cioffi, Gabriele Imperato, Flavio Giavarini, Maria Battistoni, Francesca Di Renzo, Maria Agostina Frezzini, Cinzia Perrino, Maria Cristina Facchini

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: atmospheric aerosol; chemical composition; secondary aerosol; source apportionment; ultrafine particles; oxidative potential; exposure; toxicology; forecasting; micrometeorology

Online: 12 April 2022 (09:54:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201912.0102.v1

Predicting Environmental Contribution to Ship’s Average Fuel Consumption Based on Non-Uniform Time Set

Igor Vujović, Ivica Kuzmanić, Miro Petković, Joško Šoda

Subject: Engineering, Electrical And Electronic Engineering Keywords: forecasting of fuel demand; ship’s fuel consumption; data fitting; statistical quality measures; signal processing and analysis

Online: 8 December 2019 (17:05:03 CET)

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Preprint ARTICLE | doi:10.20944/preprints202408.2158.v1

Short-Term Forecasting of Total Aggregate Demand in Uncontrolled Residential Charging with Electric Vehicles Using Artificial Neural Networks

Giovanni Formaggio, M. S. Tonelli-Neto, Danieli Biagi Vilela, Anna Diva Plasencia Lotufo

Subject: Engineering, Electrical And Electronic Engineering Keywords: Electric vehicles; Artificial neural networks; Load forecasting; multilayer perceptron 12 network; Residential charging; Backpropagation Bayesian regularization training

Online: 30 August 2024 (10:51:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.1852.v1

A Novel Two-Stage Hybrid Model Optimization with FS-FCRBM-GWDO for Accurate and Stable STLF

Eustache Uwimana, Yatong Zhou

Subject: Engineering, Electrical And Electronic Engineering Keywords: Genetic wind-driven optimization algorithm; Short-term load forecasting; Factored conditional deep belief network; Efficiency energy consumption

Online: 26 August 2024 (15:35:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.0235.v1

Understanding the Adoption of Advanced Analytics in Supply Chain Decision-Making

William Brown, George Wilson, Oliver Johnson

Subject: Business, Economics And Management, Business And Management Keywords: Advanced analytics; Supply chain management; Data-driven decision-making; Implementation challenges; Forecasting accuracy; Emerging technologies; Organizational culture

Online: 5 August 2024 (08:24:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.0257.v1

LightGBM and SVM algorithms for Predicting Synthetic Load Profiles Using a Non-Intrusive Approach

Khumbulani Mpofu, Olukorede Tijani Adenuga, Olawale M Popoola, And Abel Mathebula

Subject: Engineering, Industrial And Manufacturing Engineering Keywords: Light Gradient Boosted; Machine learning; Non-Intrusive Approach; electric load forecasting; Support Vector Machine; Synthetic Load Profile.

Online: 3 August 2023 (10:37:48 CEST)

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