Methods and systems for machine-learning for prediction of grid carbon emissions
US11398000B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | May 20, 2020 |
| Grant date | Jul 26, 2022 |
| Priority date | — |
| Expiry date | Sep 26, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system for machine-learning for prediction grid carbon emissions includes a computing device configured to receive, from a first local grid monitoring device monitoring a first local grid, a plurality of first power output quantities of a plurality of power generators in the first local grid, train an emission projection machine-learning process, wherein training further includes compiling a plurality of training data entries, each training data entry correlating a plurality of past power output quantities with at least a reported carbon emission datum and training the emission projection machine-learning process using the plurality of training data entries, and generate, using the emission projection machine-learning process, a projected carbon emission rate as a function of the plurality of power output quantities.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.