Trained models for discovering target device presence
US11893487B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 23, 2021 |
| Grant date | Feb 6, 2024 |
| Priority date | — |
| Expiry date | Mar 4, 2042 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02T10/70
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments generate machine learning predictions to discover target device energy usage. One or more trained machine learning models configured to discover target device energy usage from source location energy usage can be stored. Multiple instances of source location energy usage over a period of time can be received for a given source location. Using the trained machine learning model, multiple discovery predictions for the received instances of source location energy usage can be generated, the discovery predictions comprising a prediction about a presence of target device energy usage within the instances of source location energy usage. And based on the multiple discovery predictions, an overall prediction about a presence of target device energy usage within the given source location's energy usage over the period of time can be generated.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.