Systems and methods for utilizing machine learning to identify non-technical loss
US11449315B2 · kind B2 · utility
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2References
20Claims
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Key dates
| Filing date | Apr 5, 2019 |
| Grant date | Sep 20, 2022 |
| Priority date | — |
| Expiry date | May 26, 2041 |
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.