Mixed Deep Reinforcement Learning Considering Discrete-continuous Hybrid Action Space for Smart Home Energy Management

Mixed Deep Reinforcement Learning Considering Discrete-continuous Hybrid Action Space for Smart Home Energy Management

This paper develops deep reinforcement learning (DRL) algorithms for optimizing the operation of home energy system which consists of photovoltaic (PV) panels, battery energy storage system, and household appliances. Model-free DRL algorithms can efficiently handle the difficulty of energy system mo...

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Bibliographic Details
Main Authors: Chao Huang, Hongcai Zhang, Long Wang, Xiong Luo, Yonghua Song
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:Journal of Modern Power Systems and Clean Energy
Subjects:
Demand response
deep reinforcement learning
discrete-continuous action space
home energy management
safe reinforcement learning
Online Access:https://ieeexplore.ieee.org/document/9682649/

Internet

https://ieeexplore.ieee.org/document/9682649/

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