The Python-first
energy forecasting platform
The easiest way to create, deploy and monitor energy forecasting models at scale.

Empowering the innovators that accelerate the energy transition




Who are you?
Built for energy market professionals
Energy Trader
Both asset-backed and proprietary trading in energy markets require accurate wind, solar and demand forecasts. This need is accentuated by the increased volatility stemming from weather-driven renewable production in the system. We leverage a multi-model ensemble of weather forecasts to increase accuracy and reduce the incurred imbalance costs.
Benefits
20% Higher forecast accuracy compared to single-model approach
10% Reduced imbalance costs on average
Reduced risk by decorrelating energy forecast with the market
Energy forecast explainability and visualisations
Create accurate forecasts at scale with our powerful APIs
Leverage our APIs to create accurate forecasts for your entire energy portfolio
Seamlessly integrates with your data stack

Bazefield

Greenbyte
API
SFTP
Google BigQuery

ActiveMQ
Rebase in numbers
Forecasts created daily
Weather data processed daily
Countries active
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