Real-world validation of safe reinforcement learning, model predictive control and decision tree-based home energy management systems

Real-world validation of safe reinforcement learning, model predictive control and decision tree-based home energy management systems

Recent advancements in machine learning based energy management approaches, specifically reinforcement learning with a safety layer (OptLayerPolicy) and a metaheuristic algorithm generating a decision tree control policy (TreeC), have shown promise. However, their effectiveness has only been demonst...

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Bibliographic Details
Main Authors: Julian Ruddick, Glenn Ceusters, Gilles Van Kriekinge, Evgenii Genov, Cedric De Cauwer, Thierry Coosemans, Maarten Messagie
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Energy and AI
Subjects:
Energy management system
Machine learning
Reinforcement learning
Decision tree
Model predictive control
Hardware-in-the-loop
Online Access:http://www.sciencedirect.com/science/article/pii/S2666546824001149
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