US 11,909,207 B2
Hierarchical method for prediction of loads with high variance
Joseph Carr, Raleigh, NC (US); and Alexander Brissette, Raleigh, NC (US)
Assigned to ABB SCHWEIZ AG, Baden (CH)
Filed by ABB Schweiz AG, Baden (CH)
Filed on Mar. 10, 2021, as Appl. No. 17/197,625.
Prior Publication US 2022/0294216 A1, Sep. 15, 2022
Int. Cl. F24F 11/63 (2018.01); G05B 13/02 (2006.01); H02J 3/00 (2006.01); G05B 13/04 (2006.01); H02J 3/14 (2006.01); G06N 3/044 (2023.01)
CPC H02J 3/003 (2020.01) [F24F 11/63 (2018.01); G05B 13/027 (2013.01); G05B 13/048 (2013.01); G06N 3/044 (2023.01); H02J 3/14 (2013.01); H02J 2310/60 (2020.01)] 23 Claims
OG exemplary drawing
 
1. 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.