Invention Grant
- Patent Title: Cloud based building energy optimization system with a dynamically trained load prediction model
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Application No.: US16115282Application Date: 2018-08-28
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Publication No.: US11163271B2Publication Date: 2021-11-02
- Inventor: Young M. Lee , William N. Schroeder
- Applicant: Johnson Controls Technology Company
- Applicant Address: US MI Auburn Hills
- Assignee: Johnson Controls Technology Company
- Current Assignee: Johnson Controls Technology Company
- Current Assignee Address: US MI Auburn Hills
- Agency: Foley & Lardner LLP
- Main IPC: G05B13/02
- IPC: G05B13/02 ; H02J7/00 ; G05F1/66 ; G05B17/02

Abstract:
A building energy system includes an energy storage system (ESS) configured to store energy received from an energy source and provide the stored energy to one or more pieces of building equipment. The system includes a local building system configured to collect building data and communicate the building data to a cloud platform and the cloud platform configured to receive the building data from the local building system via the network, determine whether to retrain a trained load prediction model based on at least some of the building data, retrain the trained load prediction model based on at least some of the building data in response to a determination to retrain the trained load prediction model, determine a load prediction for the building based on the retrained load prediction model, and cause the local building system to operate.
Public/Granted literature
- US20200073342A1 CLOUD BASED BUILDING ENERGY OPTIMIZATION SYSTEM WITH A DYNAMICALLY TRAINED LOAD PREDICTION MODEL Public/Granted day:2020-03-05
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