Method and apparatus for determining energy savings by using a baseline energy use model that incorporates an artificial intelligence algorithm
First Claim
1. A computer-implemented method for determining energy savings in an energy-consuming facility, comprising:
- inputting baseline facility condition data to an artificial intelligence model generator, the baseline facility condition data representing baseline facility conditions during a first time interval before an energy conservation measure and comprising weather conditions experienced by the facility during the time interval;
inputting baseline energy consumed by the facility during the first time interval;
the artificial intelligence model generator generating an artificial intelligence model in response to the baseline facility condition data and baseline energy consumed, the artificial intelligence model modeling how facility energy consumption responds to facility conditions;
inputting actual facility condition data to the artificial intelligence model, the actual facility condition data representing actual facility conditions during a second time interval after the energy conservation measure and comprising weather conditions experienced during the second time interval;
inputting actual energy consumed by the facility during the second time interval;
the artificial intelligence model outputting, in response to the actual facility condition data, a projection of energy that would have been consumed under the baseline facility conditions but for the energy conservation measure;
computing energy savings, wherein the energy savings are defined by a difference between the actual energy consumed during the second time interval and the estimate of energy that would have been consumed but for the energy conservation measure; and
generating Energy Efficiency Certificates (EECs) corresponding to the computed energy savings.
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Accused Products
Abstract
A computer-based system, computer-implemented method and computer program product facilitate determining energy cost savings in an energy-consuming facility, such as a commercial building, using an artificial intelligence model, for example a neural network model, that projects or estimates the amount of energy that would have been consumed by the facility but for the implementation of energy efficiency or conservation measures. Energy savings are represented by the difference between the estimate of energy that would have been consumed but for the measures and the actual amount of energy consumed by the facility under actual conditions during a time interval after the measures have been implemented.
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Citations
23 Claims
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1. A computer-implemented method for determining energy savings in an energy-consuming facility, comprising:
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inputting baseline facility condition data to an artificial intelligence model generator, the baseline facility condition data representing baseline facility conditions during a first time interval before an energy conservation measure and comprising weather conditions experienced by the facility during the time interval; inputting baseline energy consumed by the facility during the first time interval; the artificial intelligence model generator generating an artificial intelligence model in response to the baseline facility condition data and baseline energy consumed, the artificial intelligence model modeling how facility energy consumption responds to facility conditions; inputting actual facility condition data to the artificial intelligence model, the actual facility condition data representing actual facility conditions during a second time interval after the energy conservation measure and comprising weather conditions experienced during the second time interval; inputting actual energy consumed by the facility during the second time interval; the artificial intelligence model outputting, in response to the actual facility condition data, a projection of energy that would have been consumed under the baseline facility conditions but for the energy conservation measure; computing energy savings, wherein the energy savings are defined by a difference between the actual energy consumed during the second time interval and the estimate of energy that would have been consumed but for the energy conservation measure; and generating Energy Efficiency Certificates (EECs) corresponding to the computed energy savings. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. A system for determining energy savings in an energy-consuming facility, comprising:
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a database for storing facility condition data representing facility conditions during a first time interval before energy conservation measures and during a second time interval after energy conservation measures, the facility condition data comprising weather conditions experienced by the facility during each time interval, the database further for storing energy data representing energy consumed by the facility during each time interval; an artificial intelligence model generator for generating an artificial intelligence model modeling how facility energy consumption responds to facility conditions, wherein the artificial intelligence model generator generates the artificial intelligence model in response to baseline facility condition data representing facility conditions during the first time interval and in response to baseline energy consumed by the facility during the first time interval; an artificial intelligence engine for producing an estimate of energy that would have been consumed under the baseline facility conditions but for the energy conservation measures, the artificial intelligence engine producing the estimate in response to actual facility condition data representing actual facility conditions during the second time interval; and a user interface for outputting Energy Efficiency Certificates (EECs) corresponding to energy savings, wherein the energy savings are a difference between the actual energy consumed during the second time interval and the estimate of energy that would have been consumed but for the energy conservation measures. - View Dependent Claims (17, 18, 19, 20, 21)
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22. A computer-implemented method for determining energy savings of an energy-consuming system, comprising:
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inputting baseline system condition data to an artificial intelligence model generator, the baseline system condition data representing baseline system conditions during a first time interval before an energy conservation measure; inputting baseline energy consumed by the system during the first time interval; the artificial intelligence model generator generating an artificial intelligence model in response to the baseline system condition data and baseline energy consumed, the artificial intelligence model modeling how system energy consumption responds to system conditions; inputting actual system condition data to the artificial intelligence model, the actual system condition data representing actual system conditions during a second time interval after the energy conservation measure; inputting actual energy consumed by the system during the second time interval; the artificial intelligence model outputting, in response to the actual system condition data, a projection of energy that would have been consumed under the baseline system conditions but for the energy conservation measure; computing energy savings, wherein the energy savings are defined by a difference between the actual energy consumed during the second time interval and the projection of energy that would have been consumed but for the energy conservation measure; and generating Energy Efficiency Certificates (EECs) corresponding to the computed energy savings. - View Dependent Claims (23)
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Specification