A multi‐objective multi‐agent deep reinforcement learning approach to residential appliance scheduling

A multi‐objective multi‐agent deep reinforcement learning approach to residential appliance scheduling

Abstract Residential buildings are large consumers of energy. They contribute significantly to the demand placed on the grid, particularly during hours of peak demand. Demand‐side management is crucial to reducing this demand placed on the grid and increasing renewable utilisation. This research stu...

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Bibliographic Details
Main Authors: Junlin Lu, Patrick Mannion, Karl Mason
Format: Article
Language:English
Published: Wiley 2022-08-01
Series:IET Smart Grid
Subjects:
deep reinforcement learning
multi‐objective optimization
residential energy management
Online Access:https://doi.org/10.1049/stg2.12068

Internet

https://doi.org/10.1049/stg2.12068

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