Article
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Artificial Intelligence Technologies Applied to Smart Grids and Management
Version 1
: Received: 16 June 2024 / Approved: 18 June 2024 / Online: 18 June 2024 (12:21:50 CEST)
How to cite: Marques, P. C.; Oliveira, P. A. Artificial Intelligence Technologies Applied to Smart Grids and Management. Preprints 2024, 2024061248. https://doi.org/10.20944/preprints202406.1248.v1 Marques, P. C.; Oliveira, P. A. Artificial Intelligence Technologies Applied to Smart Grids and Management. Preprints 2024, 2024061248. https://doi.org/10.20944/preprints202406.1248.v1
Abstract
Smart grids represent the evolution of traditional electrical grids through the integration of digital and communication technologies. These grids are capable of monitoring and managing the distribution of electricity efficiently and resiliently. Artificial Intelligence (AI) plays a crucial role in this context, offering advanced solutions for optimization, forecasting, and energy management. This paper explores the main AI technologies applied to smart grids, highlighting their advantages, challenges, and impacts on energy efficiency and sustainability. The methodology employed includes a comprehensive literature review, analysis of current AI applications in smart grids, and examination of case studies to illustrate the practical implementation and benefits of AI technologies in this field.
Keywords
Artificial Intelligence (AI); Energy Efficiency; Machine Learning (ML); Management; Renewable Energy Integration; Smart Grids
Subject
Business, Economics and Management, Business and Management
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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