Optimization of a photovoltaic-battery system using deep reinforcement learning and load forecasting

Home Energy Management Systems (HEMS) are increasingly relevant for demand-side management at the residential level by collecting data (energy, weather, electricity prices) and controlling home appliances or storage systems. This control can be performed with classical models that find optimal solut...

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Autors principals:	António Corte Real, G. Pontes Luz, J.M.C. Sousa, M.C. Brito, S.M. Vieira
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2024-05-01
Col·lecció:	Energy and AI
Matèries:	Energy management system Deep reinforcement learning Demand-side management Load forecasting Deep learning Energy storage systems
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2666546824000132
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