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Build and deploy accurate solar, wind, and load forecasts with our Python-first energy forecasting platform. Increase market decorrelation with a large variety of weather models.
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Rebase.energy provides a Python-first platform for building, deploying, and monitoring energy forecasts at scale. Its tools help energy market professionals create forecasts for solar and wind generation, as well as electricity demand and load. The platform is designed for energy traders, power producers, district heating operators, distribution system operators, virtual power plants, and energy optimisation providers.
Rebase uses a diverse ensemble of weather models to support more accurate forecasts and reduce dependence on any single model. The company says this approach can improve forecast accuracy by 20% compared with a single-model approach and reduce imbalance costs by an average of 10%. Forecasts can also be decorrelated from the market to help manage risk, with explainability and visualisations available to support analysis.
Through its APIs, users can create sites, configure renewable assets, and retrieve forecasts for their portfolios. Rebase also connects with data stacks through integrations including API, SFTP, Google BigQuery, ActiveMQ, Bazefield, and Greenbyte. Its resources include documentation, case studies, open-source projects, energy models, datasets, and a community Slack.
Brand industry
Computers Electronics and Technology
Company type
Privately Held
Year founded
2020
Company size
2-10 employees