Patent ID: 9633401
Date: 2017-04-25
CPC Classifications: F24F,G06Q,H02J,Y04S

Claim:
1. A computer-implemented method of determining power-demand of a climate-control system at a premises to reduce energy usage at the premises, the computer-implemented method comprising: receiving energy usage data of the premises including energy usage of the climate-control system, the energy usage data corresponding to a usage time period; receiving run-time data of the climate-control system corresponding to the usage time period, and determining from the run-time data one or more on-times that indicate when the climate-control system was running and one or more off-times that indicate when the climate-control system was not running; determining a power-draw of the climate-control system using the energy usage data and the run-time data by correlating at least two energy usage datum of the energy usage data at a first and second time to at least two run-time datum at the first and second time, wherein the correlating produces a trend that represents the power-draw; wherein determining the power-draw of the climate control system includes: performing an analysis with at least two groups of memberships, including a first group corresponding to the climate-control system and a second group corresponding to a different energy usage unit, to provide a first trend corresponding to the climate-control system, wherein the first analysis includes a first finite mixture model analysis of the energy usage data and the run-time data; performing additional analysis, including a second analysis, wherein each analysis includes at least one additional group of memberships corresponding to a likelihood of an additional different energy usage unit, wherein each analysis providing an additional trend corresponding to the climate-control system, and wherein each additional analysis includes a finite mixture model analysis of the energy usage data and the run-time data; and determining the power-draw of the climate-control system as a trend selected among the groups of the analysis, wherein the selection is based on a coefficient of determination (R