Predict+ Case Studies & Energy Forecasting Resources

Advanced energy prediction platform adds real-time energy pricing for North American Independent System Operator (ISO) customers, accelerates meters-connected growth.

Accurate demand forecasting is essential for navigating modern electricity markets. Predict+ enables energy retailers to anticipate consumption trends and make more informed market decisions.

By combining smart meter data, weather forecasts, and machine learning models, Predict+ provides accurate forecasts, market insights, and profitability analysis that help EDF optimize operational planning and participate more effectively in energy markets.

Predict+ platform surpasses 140,000 meters under management globally, expands advanced feature set, and brings machine learning-powered energy consumption and production prediction to utilities in Europe and North America.

By combining machine learning models with weather and operational data, Predict+ provides DTEK with deeper insight into demand trends and market dynamics.

Exploring how software can cope with rapid changes to both supply and demand on the power grid.

When the conflict caused dramatic changes in electricity usage patterns across the country, Predict+ models were rapidly recalibrated to reflect the new operating environment.

Tigo Predict+ technology provides a supply system with leading-edge financial forecasting capabilities

With the addition of CPV Retail Energy, Tigo now has more than 300 GWh of daily forecasted consumption around the world using Tigo Predict+

LOS GATOS, Calif. and KYIV, Ukraine, June 23, 2026 — Tigo Energy, Inc. (NASDAQ: TYGO) (“Tigo” or “Company”), a leading provider of intelligent solar and energy software solutions, today announced that Ukrainian electric utility, YASNO, is the latest enterprise-tier customer to deploy the Tigo Predict+ platform. The AI Energy platform empowers utility operators to adapt to real-world demand challenges while balancing renewable and baseload generation sources. Predict+ currently manages more than 650 GWh and delivers 97.5% forecast accuracy for utility customers.