Multi-Space Building Control Optimization Based on Graph Learning and Reinforcement Learning
Invention type: Technology
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Case number: #25968
Researchers
Leslie Norford
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Francis Selvaggio
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Joe Higgins
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Audun Botterud
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You Lin
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Kevin Kircher
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Daisy Green
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Jeremy Gregory
Departments: Senseable City Lab, Dof Operations, Office of the Executive Vice President & Treasurer, Laboratory for Information and Decision Systems, MIT Climate & Sustainability Consortium
Technology Areas: Artificial Intelligence (AI) and Machine Learning (ML) / Industrial Engineering & Automation: Logistics
Impact Areas: Connected World
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multi-space building control optimization based on graph learning and reinforcement learning
United States of America | Pending
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