Method to identify heating and cooling system power-demand
First 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 (R2) value derived from the trends.
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Accused Products
Abstract
Methods and computer systems are disclosed for identifying the power-demand of a climate-control system at a premises to reduce usage of energy at the premises. A computer system receives energy usage data and run-time data of the climate-control system. The operational data includes an on-time and/or off-time associated with the climate-control system. The computer system determines a power-draw of the climate-control system using the energy usage data and the run-time data and outputs the power-draw to be used to reduce the energy usage at the premises.
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Citations
15 Claims
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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:
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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 (R2) value derived from the trends. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A non-transitory machine-readable medium comprising program code stored thereon and executable by at least a processor of a computer to cause the computer to determine a power-demand of a climate-control system at a premises to reduce usage of energy at the premises, the non-transitory machine-readable medium comprising:
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computer code that when executed by at least the processor cause the processor to receive energy usage data of the premises for a time period, the energy usage data including energy usage by the climate-control system; computer code that when executed by at least the processor cause the processor to receive runtime data of the climate-control system for a portion of the time period, and to determine from the runtime 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; computer code that when executed by at least the processor cause the processor to determine a power-draw of the climate-control system using the energy usage data and the runtime 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 provides 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 (R2) value derived from the trends.
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15. A system comprising:
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a memory configured to store i) energy usage data of a premises for a time period and ii) runtime data of a climate-control system of the premises for a portion of the time period; a non-transitory machine readable medium comprising a control program stored thereon including instructions that when executed by at least a processor cause the processor; control the memory to (i) receive the energy usage data for a portion of the time period; and (ii) receive the runtime data, a portion of the runtime data having times corresponding to the time of the energy usage data; determine 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; determine a power-draw of the climate-control system using the energy usage data and the run-time data including the on-times and the off-times by correlating at least two energy usage datum of the energy usage data at a first time and a second time to at least two run-time datum at the first time and the second time, wherein the correlating produces a trend that represents the power-draw, the power-draw being associated to a pre-specified relationship between a portion of the energy usage data and a portion of the runtime data; 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 provides 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 (R2) value derived from the trends.
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Specification