Case Studies

A large US electric utility needed to replace its legacy demand forecasting system with a modern, causal ML approach that could handle AMI data at scale, accurately quantify demand response program impacts, and produce audit-grade confidence intervals for regulatory filings.

A state energy office required a rigorous, defensible measurement and verification methodology for its portfolio of residential and commercial energy efficiency programs. The previous vendor's methodology had been challenged by the independent evaluator, creating regulatory risk.

A regional electric cooperative with 280,000 members wanted to modernize its customer engagement approach — reducing call center volume while increasing member satisfaction and awareness of demand response programs. Existing outreach was manual, batch-based, and showed declining response rates.