GridCast Renewables
Forecasts solar and wind generation potential for any location in the United States.
- Category
- Data Science
- hourly forecasts
- 48 h
- sources: solar and wind
- 2
Why it exists
Deciding where to install solar panels or a wind turbine is a bet on the weather. GridCast turns weather and solar data into generation forecasts that support investment planning, grid stability, and the move to clean energy.
What it does
The features that matter.
- 0148-hour, hour-by-hour power forecasts
- 02Long-term viability analysis for investment decisions
- 03Configurable solar and wind assets
- 04Locate a site by address or GPS coordinates
- 05Models built on validated NREL and NASA POWER formulas
Built with
- Renewable energy
- Solar power
- Wind energy
- Predictive analytics
- Energy forecasting
- TypeScript
- Data visualization
- Energy independence
Data from Open-Meteo, NASA POWER.
A sophisticated predictive analytics platform for forecasting solar and wind energy generation potential across the United States. Addresses critical national priorities including U.S. energy independence, clean energy transition, and grid stability. Features advanced data-driven insights for renewable energy investment optimization, enabling better planning and integration of renewable resources. Supports the shift to renewable energy infrastructure while reducing reliance on foreign energy sources.