The public conversation stays at the surface, comparing scores without asking what they cost you.
We go beneath the leaderboard and engineer for the part of the problem that actually costs money.
Turning renewable uncertainty into measurable profit.
Wind and solar generation is inherently weather driven and volatile; poor forecasting destabilizes grids and pushes operators toward carbon intensive balancing.
Renewcast builds the forecasting and decision intelligence layer that turns that volatility into value for utilities, traders and asset owners.
To build the AI native intelligence layer for renewable energy, moving from Forecast to Insight, Decision and, eventually, Autonomous action. Forecasting is our entry point; decision intelligence is the direction we're heading, as the energy system becomes more weather driven, more volatile and more exposed to complex market dynamics.
Real-time ingestion of weather and asset data from multiple sources.
Automated, real-time cleaning of incoming data.
Automatic recognition of patterns and features relevant to each asset.
Dynamic modeling of turbine and plant behavior, combining physically-informed modeling with machine learning, and continuous learning from new data.
An ensemble of weather models, corrected with Renewcast's proprietary post-processing, checked every 15 minutes, with automatic retraining and real-time inference.
Delivery via API or SFTP, with fully customizable export and reporting.
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Discover open roles at Renewcast
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