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

28 citations · 28 across the 1 of their papers we have counts for

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1 paper

eess.SY2024★ 28 cited

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

Julian Ruddick, Glenn Ceusters, Gilles Van Kriekinge +4

Recent advancements in machine learning based energy management approaches, specifically reinforcement learning with a safety layer (OptLayerPolicy) and a metaheuristic algorithm g…