An application of reinforcement learning to residential energy storage under real-time pricing

2021 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia)(2021)

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摘要
With the proliferation of advanced metering infrastructure (AMI), more real-time data is available to electric utilities and consumers. Such high volumes of data facilitate innovative electricity rate structures beyond flat-rate and time-of-use (TOU) tariffs. One such innovation is real-time pricing (RTP), in which the wholesale market-clearing price is passed directly to the consumer on an hour-b...
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关键词
demand response,reinforcement learning,real-time pricing,energy storage
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