Socioeconomic-geographic Intelligence for Grid Net-load Analytics and Learning (SIGNAL)

The purpose of this Agreement is to fund development of actionable intelligence (AI)-based advanced multi-horizon net-load forecasting models that explicitly predict Behind-the-Meter (BtM) distributed energy resource behavior of solar photovoltaic (PV), battery energy storage systems (BESS), and electric vehicles (EVs) with focus in improving short-term forecasting accuracy under high-variability events, which will help grid operators to efficiently improve California's grid resilience and flexibility and deliver significant cost savings for ratepayers through enhanced load shifting and demand response.