Leaptran team will leverage a hybrid load forecasting approach for a better net load forecasting by decoupling solar generation impact.

Leaptran will work closely with CPS Energy to integrate high solar penetration in its utility operations.

Leaptran team will use a hybrid load modeling solution to classify weather insensitive and sensitive load percentages.

Our innovation is based on the use of solar asset-level data to mitigate the impact of weather variables on solar production forecasting.

Work with the Lee Academy to leap STEM careers to its students living in historically underserved communities in renewable energy industry

Our innovation is based on the use of solar plant inverter data to mitigate the impact of weather variables on solar production forecasting

An effective approach, based on solar PV's inverter data and weather inputs, predicts solar PV production output in hours and days ahead.