Systems and methods for AI continued learning in electrical power grid fault analysis
US12316114B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 27, 2022 |
| Grant date | May 27, 2025 |
| Priority date | — |
| Expiry date | Aug 24, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH02J2203/20
- WIPO fieldElectrical machinery, apparatus, energy
- WIPO sectorElectrical engineering
Abstract
Systems, methods, and processor-readable storage media for AI continued learning in electrical power grid fault analysis use historical fault record data to generate a fault cause prediction model for predicting the cause of a fault, and modify the fault cause prediction model based on additional technician data received from power grid technicians. The systems disclosed herein additionally receive an indication of a fault which has occurred in a power grid, obtain a prediction of the cause of the fault by applying the indication of the fault to the fault cause prediction model, and cause the predicted cause of the fault to be remedied.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.