Optimal home energy management strategy: A reinforcement learning method with actor-critic using Kronecker-factored trust region

Yunfei Chu; Zhinong Wei; Guoqiang Sun; Haixiang Zang; Sheng Chen; Yizhou Zhou

doi:10.1016/j.epsr.2022.108617

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Optimal home energy management strategy: A reinforcement learning method with actor-critic using Kronecker-factored trust region

Yunfei Chu Zhinong Wei Guoqiang Sun Haixiang Zang Sheng Chen Yizhou Zhou

Year: 2022 Journal: Electric Power Systems Research Vol: 212 Pages: 108617-108617 Publisher: Elsevier BV

DOI: 10.1016/j.epsr.2022.108617

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Keywords:

Reinforcement learning Scheduling (production processes) Computer science Mathematical optimization Demand response Electricity Markov decision process Energy consumption Energy management Operations research Distributed computing Industrial engineering Artificial intelligence Energy (signal processing) Markov process Engineering

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Smart Grid Energy Management

Physical Sciences → Engineering → Electrical and Electronic Engineering

Building Energy and Comfort Optimization

Physical Sciences → Engineering → Building and Construction

Energy Efficiency and Management

Physical Sciences → Energy → Renewable Energy, Sustainability and the Environment

Optimal home energy management strategy: A reinforcement learning method with actor-critic using Kronecker-factored trust region

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