From Data to Decisions: AI for Solar Forecasting and Energy Trading

Accurate solar production forecasts are critical for grid stability, scheduling and participation in energy markets. Traditional statistical models struggle with rapidly changing weather patterns and complex portfolio effects.

Modern AI models combine satellite imagery, weather forecasts, historical production and real-time data to produce granular predictions at plant, portfolio and grid level. These forecasts feed directly into dispatch strategies, hedging decisions and trading algorithms.

With better forecasts, solar asset owners can reduce imbalance costs, capture more value from market volatility and demonstrate higher reliability to system operators and offtakers.