Multi-Space Building Control Optimization Based on Graph Learning and Reinforcement Learning

Researchers

Departments: MIT Climate & Sustainability Consortium, Laboratory for Information and Decision Systems, Office of the Executive Vice President & Treasurer, Dof Operations, Senseable City Lab
Technology Areas: Artificial Intelligence (AI) and Machine Learning (ML) / Industrial Engineering & Automation: Logistics
Impact Areas: Connected World

  • multi-space building control optimization based on graph learning and reinforcement learning
    United States of America | Pending

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