Systems and methods for utilizing machine learning to identify non-technical loss
US10296843B2 · kind B2 · utility
4Cited by
0References
24Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Sep 24, 2014 |
| Grant date | May 21, 2019 |
| Priority date | — |
| Expiry date | Apr 17, 2037 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W52/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Various embodiments of the present disclosure can include systems, methods, and non-transitory computer readable media configured to select a set of signals relating to a plurality of energy usage conditions. Signal values for the set of signals can be determined. Machine learning can be applied to the signal values to identify energy usage conditions associated with non-technical loss.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.