Invention Grant
- Patent Title: Hierarchical method for prediction of loads with high variance
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Application No.: US17197625Application Date: 2021-03-10
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Publication No.: US11909207B2Publication Date: 2024-02-20
- Inventor: Joseph Carr , Alexander Brissette
- Applicant: ABB Schweiz AG
- Applicant Address: CH Baden
- Assignee: ABB SCHWEIZ AG
- Current Assignee: ABB SCHWEIZ AG
- Current Assignee Address: CH Baden
- Agency: Greenberg Traurig, LLP
- Main IPC: F24F11/63
- IPC: F24F11/63 ; G05B13/02 ; H02J3/00 ; G05B13/04 ; H02J3/14 ; G06N3/044
Abstract:
A method and system are provided for improving predictions of electrical power usage. In the method and system, load and/or environmental data is classified into data sets that correspond to different modes of operation of an electrical load. Different predictive models are also provided for each set of classified data. The predictive models may provide more efficient and/or more accurate predictions of power usage since each model is limited to a particular mode of operation.
Public/Granted literature
- US20220294216A1 HIERARCHICAL METHOD FOR PREDICTION OF LOADS WITH HIGH VARIANCE Public/Granted day:2022-09-15
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