Solar Energy Forecasting
Innovating and enhancing short-term and intra-day solar power forecasting. Renewcast helps utilities, traders and asset owners reduce global imbalance costs by up to 40%, with forecasting error below 7% (nMAE index) — outperforming the global market benchmark. Proof of reliability through customized trials.
Our Services
- Hybrid physical/ML model for sudden solar irradiance changes: detailed modeling of each plant, plus an ML model that corrects the physical model output
- Intra-day, day-ahead, 48-hour and medium-term forecasting (up to 15 days)
- Stow-Aware Solar Forecasting: adjusts forecasts for tracking systems based on high-wind conditions
- Portfolio Forecasting: forecasting of aggregated plants, scalable to thousands of solar assets at once
- Forecasts update every hour, with 15/60-minute granularity
- Client UI with parametric report configuration and data download
- Direct API access to retrieve forecasts
Our Platform
- Azure cloud-based platform
- Deep learning models
- Meteo data forecast optimization
- Next-Gen digital twins: real-time AI modeling of weather and renewable asset behavior
- Models that predict rapid weather changes
- Input data correction and enrichment
- Dynamic calibration: weekly model recalibration with fresh data for peak accuracy
- Fully scalable, ready to support large corporate renewable portfolios
Ready to reduce your imbalance costs? Contact us today to see how Renewcast's solar forecasting can be tailored to your portfolio.
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