Energy efficiency via incentive design and utility learning

L. Ratliff, Roy Dong, Henrik Ohlsson, S. Sastry
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引用次数: 1

Abstract

Utility companies have many motivations for modifying energy consumption patterns of consumers such as revenue decoupling and demand response programs. We model the utility company-consumer interaction as a principal-agent problem and present an iterative algorithm for designing incentives while estimating the consumer's utility function.
通过激励设计和效用学习提高能源效率
公用事业公司有许多动机来改变消费者的能源消费模式,如收入脱钩和需求响应计划。我们将公用事业公司与消费者的互动建模为一个委托代理问题,并提出了一种迭代算法来设计激励,同时估计消费者的效用函数。
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