Systems and methods for utilizing machine learning to identify non-technical loss
US11886843B2 · kind B2 · utility
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24Claims
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Key dates
| Filing date | Aug 1, 2022 |
| Grant date | Jan 30, 2024 |
| Priority date | — |
| Expiry date | Aug 1, 2042 |
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 toa 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.