Method and system for anomaly detection, missing data imputation and consumption prediction in energy data
US11089108B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 19, 2018 |
| Grant date | Aug 10, 2021 |
| Priority date | — |
| Expiry date | Apr 28, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/285
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
The present application provides a method and system for outlier detection, anomalous behavior detection, missing data imputation and prediction of consumption in energy data for one or more energy sensors by using a unified model. The application discloses a data collection module for collect a time series data to be used as training data, a model training module for training the unified model using the collected time series data to enable computation of a plurality of parameters, and a model implementation module for implementing, by the trained unified model, the plurality of parameters on a new data of energy consumption wherein the plurality of parameters are used perform at least one from a group of outlier detection, anomaly detection, missing data imputation and prediction of consumption in energy data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.