Method of intelligent data analysis to detect abnormal use of utilities in buildings
US6816811B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jul 20, 2001 |
| Grant date | Nov 9, 2004 |
| Priority date | — |
| Expiry date | Mar 23, 2022 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01D4/14
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
Outlier identification is employed to detect abnormally high or low energy use in a building. The utility use is measured periodically throughout each day and the measurements are grouped according to days that have similar average utility consumption levels. The data in each group is statistically analyzed using the Generalized Extreme Studentized Deviate (GESD) method. That method identifies outliers which are data samples that vary significantly from the majority of the data. The degree to which each outlier deviates from the remainder of the data indicates the severity of the abnormal utility consumption denoted by that outlier. The resultant outlier information is readily discernable by the building operators in accessing whether the cause of a particular occurrence of abnormal utility usage requires further investigation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.