GFO-25-303 - Improving Net Load Forecasting Models by Integrating Data on Behind-the-Meter Resources

The California Energy Commission’s EPIC program is funding a single research award to improve short‑term net‑load forecasting for California by integrating data from behind‑the‑meter resources such as battery storage, electric vehicles, and rooftop solar. The award will support the development of new forecasting methodologies, validation against operational data, and documentation for integration into CAISO and utility tools. • Primary focus: creation of scalable, data‑driven forecasting models that incorporate BT‑M resource telemetry. • Required deliverables: advanced model algorithms, validation results, and integration guides for grid‑operator workflows. • Funding: up to $3 M in CEC grant funds (plus required 20 % cost‑share) for a research‑oriented effort; only one award will be made.