Multi-objective Reinforcement Learning Based Multi-microgrid System Optimisation Problem

Jiangjiao Xu; Ke Li; Mohammad Abusara

doi:10.1007/978-3-030-72062-9_54

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Multi-objective Reinforcement Learning Based Multi-microgrid System Optimisation Problem

Jiangjiao Xu Ke Li Mohammad Abusara

Year: 2021 Lecture notes in computer science Pages: 684-696 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-72062-9_54

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Keywords:

Microgrid Reinforcement learning Computer science Pareto principle Renewable energy Grid Smart grid Distributed computing Energy management Energy storage Power (physics) Mathematical optimization Energy (signal processing) Artificial intelligence Control (management) Electrical engineering Engineering

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0.92

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Topics

Microgrid Control and Optimization

Physical Sciences → Engineering → Control and Systems Engineering

Smart Grid Energy Management

Physical Sciences → Engineering → Electrical and Electronic Engineering

Optimal Power Flow Distribution

Physical Sciences → Engineering → Electrical and Electronic Engineering

Multi-objective Reinforcement Learning Based Multi-microgrid System Optimisation Problem

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Citation History

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