Invention Grant
- Patent Title: Building control system using reinforcement learning
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Application No.: US17383213Application Date: 2021-07-22
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Publication No.: US11886153B2Publication Date: 2024-01-30
- Inventor: Sugumar Murugesan , Young M. Lee , Viswanath Ramamurti
- Applicant: Johnson Controls Tyco IP Holdings LLP
- Applicant Address: US WI Milwaukee
- Assignee: JOHNSON CONTROLS TYCO IP HOLDINGS LLP
- Current Assignee: JOHNSON CONTROLS TYCO IP HOLDINGS LLP
- Current Assignee Address: US WI Milwaukee
- Agency: Foley & Lardner LLP
- Main IPC: G05B13/04
- IPC: G05B13/04 ; H02J3/00 ; G06N3/08 ; G05B13/02 ; G06N3/045

Abstract:
A method of operating a building management system is disclosed. The method includes determining, by a processing circuit, policy rankings for a plurality of control policies based on building operation data of a first previous time period, selecting, by the processing circuit, a set of control policies from among the plurality of control policies based on the policy rankings of the set of control policies satisfying a ranking threshold, generating, by the processing circuit, a plurality of prediction models for the set of control policies, selecting, by the processing circuit, a first prediction model of the plurality of prediction models based on building operation data of a second previous time period, and responsive to selecting the first prediction model, operating, by the processing circuit, the building management system using the first prediction model.
Public/Granted literature
- US20220026864A1 BUILDING CONTROL SYSTEM USING REINFORCEMENT LEARNING Public/Granted day:2022-01-27
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