Article
Version 1
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Modeling of Risk Aversion Linked to Renewable Energy Policy and Decision-Maker Behavior
Version 1
: Received: 4 January 2022 / Approved: 6 January 2022 / Online: 6 January 2022 (11:55:01 CET)
How to cite: Ecike Ewanga, D. D. Modeling of Risk Aversion Linked to Renewable Energy Policy and Decision-Maker Behavior. Preprints 2022, 2022010083. https://doi.org/10.20944/preprints202201.0083.v1 Ecike Ewanga, D. D. Modeling of Risk Aversion Linked to Renewable Energy Policy and Decision-Maker Behavior. Preprints 2022, 2022010083. https://doi.org/10.20944/preprints202201.0083.v1
Abstract
This paper presents the behavior of decision makers, the possible choices and the strategies 1 resulting from the uncertainties related to the integration of renewable energies. Its uncertainties 2 are the risks associated with the volatility of renewable sources, the dynamics of energy production 3 as well as the planning and operation of the electricity grid. The goal is to model the risk-averse 4 decision-maker’s behavior and the choice of integrating renewable energies into the electrical system. 5 Following a bibliographic approach, we expose a methodology to model the decision-maker’s 6 behavior(risk aversion and predilection for risk) to risk taking. The risk-averse decision maker may 7 adopt nonlinear utility functions. Risk aversion is a behavior that reflects the desire to avoid risk 8 decisions and thus reduces the risk of adverse consequences. A decision support tool is provided to 9 the decision-maker to choose a best-fit strategy based on his preferences. The rational and risk-averse 10 decision-maker would seek to maximize a concave utility function instead of seeking to minimize its 11 cost. Taste or aversion to risk can be modeled by a thematic function of utility.
Keywords
Modeling; risk averse; decision maker; choice; strategy; utility
Subject
Social Sciences, Decision Sciences
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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