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US 11,909,207 B2Granted
Hierarchical method for prediction of loads with high variance
AssigneeABB Schweiz AG
InventorsJoseph Carr, Alexander Brissette
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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.
Claims23
A method of compensating electrical power distribution, comprising:
- collecting input data comprising load and/or environmental data;
- classifying the input data into a first set of data and a second set of data, the first set of data defining one level of power consumption and the second set of data defining another level of power consumption;
- predicting a first power consumption for a first period corresponding to the first set of data;
- predicting a second power consumption for a second period corresponding to the second set of data;
- determining an expected power consumption based on the first power consumption or the second power consumption;
- and
- shedding an electrical load or increasing an electrical supply based on the expected power consumption;
- wherein the first set of data defines a valley of power consumption based on a first operating mode and the second set of data defines a peak of power consumption based on a second operating mode.
5 more elements
Dependencies are inferred from the claim text.