INTELLIGENT ENERGY MANAGEMENT SYSTEM FOR DISTRIBUTED ENERGY RESOURCES AND ENERGY STORAGE SYSTEMS USING MACHINE LEARNING

• Main Authors: LADENDORF, ENRICO, TELLA, PRUDHVI, HICKS, MATTHEW JOEL, GUO, JIELIAN
• Format: Patent
• Language: English
• Published: 25.07.2019
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

There is provided a method for managing electricity demand, the method comprising: obtaining past demand data of a site, the past demand data comprising past electricity usage data representing electricity usage at the site over a past time period extending from a past point in time to a current point in time; determining, based on the past demand data, projected electricity usage data of the site by inputting the past demand data to a trained machine learning model comprised in a set of one or more trained machine learning models, the projected electricity usage data representing projected electricity usage at the site over a future time period, and wherein the future time period does not comprise a period of time at least twenty-three hours from the current point in time; determining one or more peak demand periods when, during the future time period, the projected electricity usage at the site exceeds a demand threshold; and securing non-grid electricity for use by the site during the one or more peak demand periods.