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

There is described a method of reserving a capacity of one or more energy storage devices. The method includes forecasting, based on past electricity demand of a site, future electricity demand of the site over a future time period. The method further includes determining a forecasting error between...

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Bibliographic Details
Main Authors Tella, Prudhvi, Guo, Jielian
Format Patent
LanguageEnglish
Published 22.12.2022
Subjects
CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER
CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
ELECTRICITY
GENERATION
SYSTEMS FOR STORING ELECTRIC ENERGY
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Summary:There is described a method of reserving a capacity of one or more energy storage devices. The method includes forecasting, based on past electricity demand of a site, future electricity demand of the site over a future time period. The method further includes determining a forecasting error between the forecasted future electricity demand and an actual electricity demand of the site over the future time period. The method further includes adjusting, based on the forecasting error, a target state of charge (SOC) of one or more energy storage devices. The method further includes reserving, based on the adjusted target SOC, a capacity of the one or more energy storage devices.
Bibliography:Application Number: US201917606597