Multi-agent Reinforcement Learning Based User-Centric Demand Response with Non-intrusive Load Monitoring

Mohammad Ashraf; Sima Hamedifar; Shichao Liu; Chunsheng Yang; Alanoud Alrasheedi

doi:10.1007/978-981-99-9785-5_30

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Multi-agent Reinforcement Learning Based User-Centric Demand Response with Non-intrusive Load Monitoring

Mohammad Ashraf Sima Hamedifar Shichao Liu Chunsheng Yang Alanoud Alrasheedi

Year: 2024 Lecture notes in computer science Pages: 430-445 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-99-9785-5_30

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Keywords:

Computer science Reinforcement learning Demand response On demand Reinforcement Human–computer interaction Artificial intelligence Real-time computing Multimedia Electrical engineering

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Smart Grid Energy Management

Physical Sciences → Engineering → Electrical and Electronic Engineering

Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Energy Efficiency and Management

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

Multi-agent Reinforcement Learning Based User-Centric Demand Response with Non-intrusive Load Monitoring

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