The potential of combined robust model predictive control and deep learning in enhancing control performance and adaptability in energy systems

Abstract This study investigates the integration of Robust Model Predictive Control (RMPC) and Deep Learning to enhance the performance and adaptability of energy systems, focusing on Combined Heat and Power (CHP), Power-to-Hydrogen, and Power-to-Gas Methane applications. The proposed framework comb...

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Autors principals:	Xiaowen Lv, Ali Basem, Mohammadtaher Hasani, Ping Sun, Jingyu Zhang
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2025-04-01
Col·lecció:	Scientific Reports
Matèries:	RMPC Deep learning CHP Power-to-Hydrogen Power-to-Gas methane Energy systems optimization
Accés en línia:	https://doi.org/10.1038/s41598-025-95636-0
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