期刊
IEEE TRANSACTIONS ON SMART GRID
卷 6, 期 6, 页码 2837-2844出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2015.2402194
关键词
Economics; power system economics
资金
- Stanford Graduate Fellowship
- TomKat Center
- Powell Foundation Fellowship
Designing fair compensation mechanisms for demand response (DR) is challenging. This paper models the problem in a game theoretic setting and designs a payment distribution mechanism based on the Shapley value (SV). As exact computation of the SV is in general intractable, we propose estimating it using a reinforcement learning algorithm that approximates optimal stratified sampling. We apply this algorithm to a DR program that utilizes the SV for payments and quantify the accuracy of the resulting estimates.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据