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Bounded rational decision-making modeling and analysis in local energy markets: A state-of-the-art review.

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Title: Bounded rational decision-making modeling and analysis in local energy markets: A state-of-the-art review.
Authors: Xia, Yuanxing1 (AUTHOR) eexyx@hhu.edu.cn, Wang, Ke1 (AUTHOR) wangkehhu@hhu.edu.cn, Huang, Yu2 (AUTHOR) huangyu@njupt.edu.cn, Lin, Tinjun3 (AUTHOR) 755980295@qq.com, Shi, Linjun1 (AUTHOR) eec@hhu.edu.cn, Wu, Feng1 (AUTHOR) wufeng@hhu.edu.cn
Source: Renewable & Sustainable Energy Reviews. Jan2026:Part B, Vol. 226, pN.PAG-N.PAG. 1p.
Subject Terms: *Sustainability, *Energy industries, Bounded rationality, Behavioral economics, Resource allocation, Decision making, Game theory
Geographic Terms: China
Abstract: The prevailing literature typically models energy prosumers in local energy markets (LEMs) as fully rational actors whose primary goal is to maximize economic profits. However, this assumption neglects the fact that LEM participants are predominantly small-scale residential users, whose decisions are often shaped by bounded rationality due to limited information, cognitive constraints, and low transaction expertise. They exhibit subjective preferences, leading to decision-making that deviates from theoretical optima. This interdisciplinary review systematically investigates the bounded rationality factors influencing prosumers' decision-making in LEMs. This study integrates behavioral economics, game theory, and incomplete information to model irrational decision-making in local energy markets (LEMs). These models are applied across heterogeneous market levels to capture the diversity of trading behaviors. An online survey in China and subsequent empirical analysis validate the theoretical assumptions, offering evidence-based insights for policy design to improve LEM efficiency and sustainability. Our findings provide critical insights into LEM participant behavior, leading to policy recommendations aimed at enhancing market efficiency and sustainability. This study outlines prospects for sustainable development, identifies open research questions, and proposes future research directions, thereby contributing significantly to the discourse on LEMs and their role in the broader energy transition. • Prosumers' decisions deviate from optimality due to cognitive biases and limited information. • Models incorporate loss aversion, mental accounting, and subjective preferences for realistic trading. • Evolutionary and repeated games simulate learning and reputation effects in multi-agent interactions. • Recommendations include tailored trading mechanisms and incentives to enhance market efficiency and sustainability. [ABSTRACT FROM AUTHOR]
Copyright of Renewable & Sustainable Energy Reviews is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Bounded rational decision-making modeling and analysis in local energy markets: A state-of-the-art review.
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  Data: <searchLink fieldCode="AR" term="%22Xia%2C+Yuanxing%22">Xia, Yuanxing</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> eexyx@hhu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Ke%22">Wang, Ke</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> wangkehhu@hhu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Huang%2C+Yu%22">Huang, Yu</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> huangyu@njupt.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Lin%2C+Tinjun%22">Lin, Tinjun</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> 755980295@qq.com</i><br /><searchLink fieldCode="AR" term="%22Shi%2C+Linjun%22">Shi, Linjun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> eec@hhu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Wu%2C+Feng%22">Wu, Feng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> wufeng@hhu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Renewable+%26+Sustainable+Energy+Reviews%22">Renewable & Sustainable Energy Reviews</searchLink>. Jan2026:Part B, Vol. 226, pN.PAG-N.PAG. 1p.
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– Name: Abstract
  Label: Abstract
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  Data: The prevailing literature typically models energy prosumers in local energy markets (LEMs) as fully rational actors whose primary goal is to maximize economic profits. However, this assumption neglects the fact that LEM participants are predominantly small-scale residential users, whose decisions are often shaped by bounded rationality due to limited information, cognitive constraints, and low transaction expertise. They exhibit subjective preferences, leading to decision-making that deviates from theoretical optima. This interdisciplinary review systematically investigates the bounded rationality factors influencing prosumers' decision-making in LEMs. This study integrates behavioral economics, game theory, and incomplete information to model irrational decision-making in local energy markets (LEMs). These models are applied across heterogeneous market levels to capture the diversity of trading behaviors. An online survey in China and subsequent empirical analysis validate the theoretical assumptions, offering evidence-based insights for policy design to improve LEM efficiency and sustainability. Our findings provide critical insights into LEM participant behavior, leading to policy recommendations aimed at enhancing market efficiency and sustainability. This study outlines prospects for sustainable development, identifies open research questions, and proposes future research directions, thereby contributing significantly to the discourse on LEMs and their role in the broader energy transition. • Prosumers' decisions deviate from optimality due to cognitive biases and limited information. • Models incorporate loss aversion, mental accounting, and subjective preferences for realistic trading. • Evolutionary and repeated games simulate learning and reputation effects in multi-agent interactions. • Recommendations include tailored trading mechanisms and incentives to enhance market efficiency and sustainability. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Renewable & Sustainable Energy Reviews is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.rser.2025.116310
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Sustainability
        Type: general
      – SubjectFull: Energy industries
        Type: general
      – SubjectFull: Bounded rationality
        Type: general
      – SubjectFull: Behavioral economics
        Type: general
      – SubjectFull: Resource allocation
        Type: general
      – SubjectFull: Decision making
        Type: general
      – SubjectFull: Game theory
        Type: general
      – SubjectFull: China
        Type: general
    Titles:
      – TitleFull: Bounded rational decision-making modeling and analysis in local energy markets: A state-of-the-art review.
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            NameFull: Xia, Yuanxing
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            NameFull: Wang, Ke
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            – D: 05
              M: 01
              Text: Jan2026:Part B
              Type: published
              Y: 2026
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              Value: 226
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