Grid-Interactive Multi-Zone Building Control Using Reinforcement Learning with Global-Local Policy Search [electronic resource] : Preprint.
In this paper, we develop a grid-interactive multi-zone building controller based on a deep reinforcement learning (RL) approach. The controller is designed to facilitate building operation during normal conditions and demand response events, while ensuring occupants comfort and energy efficiency. W...
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| Format: | Government Document Electronic eBook |
| Language: | English |
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Washington, D.C. : Oak Ridge, Tenn. :
United States. Department of Energy. Office of Energy Efficiency and Renewable Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Department of Energy,
2021.
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E 1.99:nrel/cp-2c00-78000
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| E 1.99:nrel/cp-2c00-78000 | Available |