Thermostat classification method and system
US9547316B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 13, 2013 |
| Grant date | Jan 17, 2017 |
| Priority date | — |
| Expiry date | Apr 29, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q50/06
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
The disclosure provides a computer-implemented method and system of reducing commodity usage by providing tailored consumer information to the consumer. The method utilizes neural network and machine learning techniques to calculate and cluster statistical data to classify the premises for desired observable condition, including the presence of a programmed thermostat. A score is determined that corresponds to at least one of: (i) a present state of an observable condition, (ii) a non-present state of the observable condition, and (iii) a degree of a condition of the observable condition, to provide tailored consumer information associated to the consumer's usage of the commodity.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.