Methods and systems for machine-learning for prediction of grid carbon emissions
US12112391B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | May 17, 2023 |
| Grant date | Oct 8, 2024 |
| Priority date | — |
| Expiry date | May 17, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for calculating consumption-based carbon emissions in power grids is disclosed. The method includes receiving, from a first grid monitoring device monitoring a first grid, a plurality of first power output quantities from a plurality of power generators in the first grid; receiving, from a second grid monitoring device monitoring a second grid, a plurality of second power output quantities from a plurality of power generators in the second grid, wherein the first grid is connected to the second grid and can send and/or receive power to and/or from the second grid; computing and solving a linear system of equations based on variables representative of each the first grid and the second grid; and displaying, on a user interface, a consumption-based carbon emissions calculation describing carbon emissions consumed per megawatt-hours (MWh) produced by the first grid and the second grid based on solving the linear system of equations.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.