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| 文件名: Estimation_of_the_Shapley_Value_of_a_Peer-to-Peer_Energy_Sharing_Game_using_Coal.pdf | |
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英文标题:
《Estimation of the Shapley Value of a Peer-to-Peer Energy Sharing Game using Coalitional Stratified Random Sampling》 --- 作者: Liyang Han, Thomas Morstyn, Malcolm McCulloch --- 最新提交年份: 2019 --- 英文摘要: Various peer-to-peer energy markets have emerged in recent years in an attempt to manage distributed energy resources in a more efficient way. One of the main challenges these models face is how to create and allocate incentives to participants. Cooperative game theory offers a methodology to financially reward prosumers based on their contributions made to the local energy coalition using the Shapley value, but its high computational complexity limits the size of the game. This paper explores a stratified sampling method proposed in existing literature for Shapley value estimation, and modifies the method for a peer-to-peer cooperative game to improve its scalability. Finally, selected case studies verify the effectiveness of the proposed coalitional stratified random sampling method and demonstrate results from large games. --- 中文摘要: 近年来,为了以更有效的方式管理分布式能源,出现了各种对等能源市常这些模式面临的主要挑战之一是如何为参与者创造和分配激励。合作博弈论提供了一种方法,根据消费者对当地能源联盟的贡献,利用Shapley值从经济上奖励消费者,但其高计算复杂性限制了博弈的规模。本文探讨了现有文献中提出的一种用于Shapley值估计的分层抽样方法,并对对等合作博弈的方法进行了改进,以提高其可扩展性。最后,选定的案例研究验证了所提出的联盟分层随机抽样方法的有效性,并展示了大型博弈的结果。 --- 分类信息: 一级分类:Computer Science 计算机科学 二级分类:Computer Science and Game Theory 计算机科学与博弈论 分类描述:Covers all theoretical and applied aspects at the intersection of computer science and game theory, including work in mechanism design, learning in games (which may overlap with Learning), foundations of agent modeling in games (which may overlap with Multiagent systems), coordination, specification and formal methods for non-cooperative computational environments. The area also deals with applications of game theory to areas such as electronic commerce. 涵盖计算机科学和博弈论交叉的所有理论和应用方面,包括机制设计的工作,游戏中的学习(可能与学习重叠),游戏中的agent建模的基础(可能与多agent系统重叠),非合作计算环境的协调、规范和形式化方法。该领域还涉及博弈论在电子商务等领域的应用。 -- 一级分类:Computer Science 计算机科学 二级分类:Computational Engineering, Finance, and Science 计算工程、金融和科学 分类描述:Covers applications of computer science to the mathematical modeling of complex systems in the fields of science, engineering, and finance. Papers here are interdisciplinary and applications-oriented, focusing on techniques and tools that enable challenging computational simulations to be performed, for which the use of supercomputers or distributed computing platforms is often required. Includes material in ACM Subject Classes J.2, J.3, and J.4 (economics). 涵盖了计算机科学在科学、工程和金融领域复杂系统的数学建模中的应用。这里的论文是跨学科和面向应用的,集中在技术和工具,使挑战性的计算模拟能够执行,其中往往需要使用超级计算机或分布式计算平台。包括ACM学科课程J.2、J.3和J.4(经济学)中的材料。 -- 一级分类:Economics 经济学 二级分类:General Economics 一般经济学 分类描述:General methodological, applied, and empirical contributions to economics. 对经济学的一般方法、应用和经验贡献。 -- 一级分类:Mathematics 数学 二级分类:Optimization and Control 优化与控制 分类描述:Operations research, linear programming, control theory, systems theory, optimal control, game theory 运筹学,线性规划,控制论,系统论,最优控制,博弈论 -- 一级分类:Quantitative Finance 数量金融学 二级分类:Economics 经济学 分类描述:q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance q-fin.ec是econ.gn的别名。经济学,包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题 -- --- PDF下载: --> |
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