Apparatus and method for non-intrusive load monitoring aided hybrid high and low frequency approaches
US10983496B1 · kind B1 · utility
5Cited by
3References
6Claims
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Key dates
| Filing date | Oct 13, 2020 |
| Grant date | Apr 20, 2021 |
| Priority date | — |
| Expiry date | Oct 13, 2040 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY04S40/18
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An apparatus and method are used for disaggregating and classifying energy consumption data from the overall energy consumption data of a building. Both high frequency sampling data classified by a convolutional neural network running on a cloud server and low frequency sampling data analyzed by a convolutional neural net running locally on an electric smart meter are used in the method. A control circuit switches between high and low frequency sampling modes based on the activity level of the building. Individual devices can also be controlled through a mobile application connected to the control circuit.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.