Forecast Modeling & Backtesting

Site-Specific Models

Developed forecasting models separately for each site and forecast target, allowing the model to adapt to local solar-production and facility-load patterns.

The modeling framework included gradient-boosted models, linear models, and simple statistical baselines.

Backtesting

Candidate models were evaluated on historical periods before deployment, with forecast performance compared across sites and forecast horizons using standard error metrics.

This provided a reproducible way to select an appropriate model for each forecasting problem rather than applying a single model architecture everywhere.

Model Updates

Models could be retrained as additional operational data became available or site behavior changed, while retaining the same forecasting and evaluation workflow.