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3 days agoA machine-learning-based event-triggered model predictive control for building energy management. Building and Environment, 233 (2023), Article 110101. View ...
Missing: Reinforcement Agent HVAC
7 days agoIn this research paper, a new method is introduced for active cell balancing of a battery pack consisting of four series connected lithium-ion (Li-ion) ...
Missing: Facilities | Show results with:Facilities
3 days agoThe principal areas of interest include the integration of advanced control algorithms and machine learning techniques and the development of robust ...
5 days agoA cloud-edge collaboration solution for distribution network reconfiguration using multi-agent deep reinforcement learning. IEEE Trans. Power Syst.39(2) ...
Missing: HVAC | Show results with:HVAC
3 days agoThe research introduces a novel supervised machine learning model that focuses on regression methods specifically tailored for advanced microgrid energy ...
Missing: Facilities | Show results with:Facilities
5 days agoTo solve these problems, we propose an innovative A*SAC deep reinforcement learning algorithm, which seamlessly integrates the benefits of Soft Actor-Critic ( ...
Missing: HVAC Facilities
5 days agoMulti-Agent Reinforcement Learning for Smart Community Energy Management , Patrick Wilk, Ning Wang, Jie Li. Subject: Engineering, Electrical And Electronic ...
6 days agoThe ESS refers to the set of components responsible for storing and managing electrical energy within an EV, which serves as the power source for the vehicle's ...
Missing: Reinforcement Agent HVAC
6 minutes agoThis paper proposes a relevance-based reconstruction-oriented EMD-Informer machine learning model, which combines empirical mode decomposition (EMD) and the ...
Missing: Agent | Show results with:Agent
7 days agoThis study compares three (near) real-time spatiotemporal precipitation datasets to be used in the aforementioned IHM forecast systems: (1) 24 h precipitation ...
Missing: Reinforcement Agent HVAC