Method and apparatus for determining energy savings by using a baseline energy use model that incorporates an artificial intelligence algorithm

A system for determining energy savings in an energy-consuming facility, comprising:

• 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 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 particulate reduction values (PRVs) 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.

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;
• inputting baseline energy consumed by the facility on a less-than-monthly basis 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;
• inputting actual energy consumed by the facility on a less-than-monthly basis 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 on a less-than-monthly basis under the baseline facility conditions but for the energy conservation measure;
• computing energy savings on a less-than-monthly basis, wherein the energy savings are defined by a difference between the actual energy consumed on a less-than-monthly basis during the second time interval and the estimate of energy that would have been consumed on a less-than-monthly basis but for the energy conservation measure;
• and
• generating energy efficiency certificates (EECs) corresponding to the computed energy savings, particulate reduction values (PRVs) corresponding to the energy savings, or both, on a less-than-monthly basis.

A system for determining energy savings in an energy-consuming facility, comprising:

• 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 database further for storing energy data representing energy consumed by the facility on a less-than-monthly basis 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 on a less-than-monthly basis during the first time interval;
• an artificial intelligence engine for producing an estimate of energy that would have been consumed on a less-than-monthly basis 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 the energy savings, particulate reduction values (PRVs) corresponding to the energy savings, or both, on a less-than-monthly basis, wherein the less-than-monthly basis energy savings are a difference between the actual energy consumed on a less-than-monthly basis during the second time interval and the estimate of energy that would have been consumed on a less-than-monthly basis but for the energy conservation measures.