Improving Net Load Forecasting Models by Integrating Data on Behind-the-Meter Resources
The California Energy Commission is funding research to improve net load forecasting models by integrating Behind-the-Meter resource data—solar, storage, and demand flexibility—to help grid operators and market participants optimize generation reserves and real-time dispatch. Projects that enhance forecast accuracy for distributed energy resources will directly support California's grid reliability and decarbonization targets.
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AI overview
This grant funding opportunity aims to fund research that improves the accuracy and operational value of tools used to forecast Behind-the-Meter (BtM) resources. The research will enable grid operators and electricity market participants to more effectively plan their generation reserves, capacity, and real-time operations, supporting a more reliable, efficient, cleaner, and cost-effective energy system for California ratepayers. Projects should focus on enhancing net load forecasting models through integration of Behind-the-Meter resource data.
Resources & contact
Proposal Document
View proposal documentSolicitation number
GFO-25-303
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