As the U.S. solar and storage market matures, portfolio performance is increasingly determined not by deployment alone, but by the ability to transform physical asset quality, operational data, and market intelligence into bankable, dispatchable portfolios.
The industry faces a dual challenge: ensuring that underlying data accurately reflects real system health and performance, and translating this data into reliable decisions for operations, financing, insurance, and participation in flexibility markets.
This session includes an overview of KPIs for large scale PV in the USA. It brings together technical, digital, and commercial perspectives to explore how AI, digital twins, data governance, and portfolio architectures can generate measurable value across the PV and storage lifecycle. Rather than treating AI as a standalone topic, the session connects it to the physical and operational foundations that determine whether digital tools actually improve reliability, recover value, and enable VPP-ready asset operation in the U.S.
