Optimization strategy based on deep reinforcement learning for home energy management

• Main Authors: Liu, Yuankun, Zhang, Dongxia, Gooi, Hoay Beng
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Electrical and electronic engineering; Deep Reinforcement Learning; Demand Response
• Online Access: https://hdl.handle.net/10356/148706
• Institution: Nanyang Technological University

With the development of a smart grid and smart home, massive amounts of data can be made available, providing the basis for algorithm training in artificial intelligence applications. These continuous improving conditions are expected to enable the home energy management system (HEMS) to cope with t...