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eess.SY2024
Smart energy management: process structure-based hybrid neural networks for optimal scheduling and economic predictive control in integrated systems
Long Wu, Xunyuan Yin, Lei Pan +1
Integrated energy systems (IESs) are complex systems consisting of diverse operating units spanning multiple domains. To address its operational challenges, we propose a physics-in…
eess.SY2023★ 10 cited
Integrating machine learning paradigms and mixed-integer model predictive control for irrigation scheduling
Bernard T. Agyeman, Mohamed Naouri, Willemijn Appels +2
The agricultural sector currently faces significant challenges in water resource conservation and crop yield optimization, primarily due to concerns over freshwater scarcity. Tradi…