Data-driven control of micro-climate in buildings: An event-triggered reinforcement learning approach

Smart buildings have great potential for shaping an energy-efficient, sustainable, and more economic future for our planet as buildings account for approximately 40% of the global energy consumption. Future of the smart buildings lies in using sensory data for adaptive decision making and control th...

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Bibliographic Details
Main Authors: Haji Hosseinloo, Ashkan (Author), Ryzhov, Alexander (Author), Bischi, Aldo (Author), Ouerdane, Henni (Author), Turitsyn, Konstantin (Author), Dahleh, Munther A (Author)
Other Authors: Massachusetts Institute of Technology. Laboratory for Information and Decision Systems (Contributor)
Format: Article
Language:English
Published: Elsevier BV, 2020-12-09T20:06:43Z.
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