LOAD FORECASTING FROM INDIVIDUAL CUSTOMER TO SYSTEM LEVEL

The present invention relates to system and method for providing near real-time DR events and price signals to the customer end-points to optimally manage the available DR resources. The system utilizes bottom up load forecasting for accurate individualized forecasts for customer loads in the presen...

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Bibliographic Details
Main Authors LOCKLIN, Scott Christopher, BHAT, Vijay Srikrishna, SCHWARZ, Henry, NARAYAN, Amit
Format Patent
LanguageEnglish
Published 02.06.2022
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Summary:The present invention relates to system and method for providing near real-time DR events and price signals to the customer end-points to optimally manage the available DR resources. The system utilizes bottom up load forecasting for accurate individualized forecasts for customer loads in the presence of dynamic pricing signals. For better efficiency and reliability of grid operation the system utilizes advanced machine learning and robust optimization techniques for real-time and "personalized" DR-offer dispatch.
Bibliography:Application Number: US202117368744