Power grid aware machine learning device
US11334036B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 10, 2020 |
| Grant date | May 17, 2022 |
| Priority date | — |
| Expiry date | Apr 4, 2040 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY04S50/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method for managing operation of electrical devices includes a control module that monitors status of multiple sources of electrical power to one or more electrical devices and electrical usage of the one or more electrical devices that receive electricity from the source of electrical power. The operation of the one or more electrical devices is managed using a machine learning model that forecasts status of the at least one source of electrical power and generates operational rules for the one or more electrical devices from historical values of control parameters of the one or more electrical devices, the status of the source of electrical power, and the electrical usage of the one or more electrical devices. The system may optimize renewable energy utilization, power grid stabilization, cost of electrical power usage, and the like.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.