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Peaking Interest: How Awareness Drives the Effectiveness of Time-of-Use Electricity Pricing

机译:利益高峰:意识如何驱动分时电价的有效性

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摘要

I apply and extend a new machine-learning method to estimate heterogeneous electricity demand responses to time-varying prices in an experiment on Irish households. The most important source of heterogeneity is consumer awareness, followed by information provision and baseline consumption. In-home electricity monitors doubled responses. Other household characteristics like demographics, appliance ownership, or house characteristics, were not predictive of heterogeneous effects. Surprisingly, households appeared to violate a central law of demand theory: while they responded to the existence of a price change, they were extremely insensitive to the magnitude of the price change. This suggests that "getting the prices right" is less important than getting consumers to pay attention in the first place.
机译:我应用并扩展了一种新的机器学习方法,以通过对爱尔兰家庭进行的实验来估计异构电力需求对随时间变化的价格的响应。异质性最重要的来源是消费者的意识,其次是信息提供和基准消费。家用电力监控器的响应增加了一倍。其他家庭特征,如人口统计,设备所有权或房屋特征,不能预测异质性影响。令人惊讶的是,家庭似乎违反了需求的中心定律:尽管他们对价格变化的存在做出了反应,但他们对价格变化的幅度极为不敏感。这表明“让价格正确”并不比让消费者首先关注要紧。

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