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Data-driven Model Predictive and Reinforcement Learning-Based Control for Building Energy Management: a Survey
2022
IEEE Access
Building energy management has been recognized as one of the core problems in modern power grids with respect to system operation efficiency. However, the building energy management system (BEMS) is now facing more challenges and uncertainties with the increasing penetration of renewable energy and increasing adoption of different types of electrical appliances and equipment. Classical model predictive control (MPC) has shown effective in building energy management, although it suffers from
doi:10.1109/access.2022.3156581
fatcat:ql34l2572fagbdq7vxrai7aclu