Hybrid modeling process for forecasting physical system parameters
US12229689B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 10, 2021 |
| Grant date | Feb 18, 2025 |
| Priority date | — |
| Expiry date | Nov 1, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method includes receiving first input values for a first parameter of a physical system, calculating first modeled values for a second parameter using a model that represents the physical system, based on the first input values, receiving measured values for the second parameter, training a machine learning model to adjust modeled values generated by the model based on a difference between the first modeled values and the measured values, receiving second input values for the first parameter, calculating second modeled values for the second parameter using the model, generating adjusted values for the second parameter by adjusting the second modeled values using the trained machine learning model, and visualizing the adjusted values for the second parameter as representing operation of the physical system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.