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US 2023/0418276 A1Published application
Dynamic Real Time Average Monthly Energy Management System
AssigneeBudderfly, Inc.
InventorsAlbert Subbloie, Paul Schmidt
Life of this patent
Estimating the term…
Abstract
A system and method of dynamically calculating average monthly energy use through a system of weights attributed to business, environmental, and operational variables. The system applies machine learning to improve upon its estimations by learning the correlations of equipment and operational factors to the overall equipment use.
Claims19
A system for predicting and managing energy usage at a facility comprising:
- a computer having a storage, said computer coupled to a network;
- software executing on said computer comprising artificial intelligence calculating a predicted future energy use of the facility;
- said software calculating an Average Monthly Usage (AMU) based on facility profile data and equipment data associated with at least one piece of equipment at the facility;
- at least one sensor measuring the operation of the at least one piece of equipment at the facility, said at least one sensor transmitting equipment operation data to said computer via said network;
- an environmental data input coupled to said computer, the environmental data reflective of environmental conditions outside of the facility;
- said software comparing the equipment operation data to the environmental data to determine correlation data;
- said software comparing the equipment operation data to the calculated AMU to determine variance data;
- said software modifying the AMU to generate a modified AMU based on the correlation data and the variance data;
- and
- said software performing an action when the variance data exceeds a threshold value, wherein the action is selected from the group consisting of:
- cycling of the equipment, modifying the operation of the equipment, generating an alarm, turning the equipment off, running the equipment through a diagnostic, and combinations thereof.
8 more elements
A method for predicting and managing energy usage at a facility with a computer having a storage and coupled to a network, the method comprising the steps of:
- software executing on said computer comprising artificial intelligence calculating a predicted future energy use of the facility;
- the software calculating an Average Monthly Usage (AMU) based on facility profile data and equipment data associated with at least one piece of equipment at the facility;
- measuring the operation of the at least one piece of equipment at the facility with at least one sensor;
- transmitting equipment operation data measured by the at least one sensor to the computer via said network;
- receiving an environmental data input at the computer, the environmental data reflective of environmental conditions outside of the facility;
- the software comparing the equipment operation data to the environmental data to determine correlation data;
- the software comparing the equipment operation data to the calculated AMU to determine variance data;
- the software modifying the AMU to generate a modified AMU based on the correlation data and the variance data;
- and
- the software performing an action when the variance data exceeds a threshold value, wherein the action is selected from the group consisting of:
- cycling of the equipment, modifying the operation of the equipment, generating an alarm, turning the equipment off, running the equipment through a diagnostic, and combinations thereof.
8 more elements
Dependencies are inferred from the claim text.