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The Python-first energy forecasting platform

The easiest way to create, deploy and monitor energy forecasting models at scale.

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Empowering the innovators that accelerate the energy transition

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Our current services

10000+

Number of daily forecasts

200GB

Energy related data ingested daily

5

Number of countries active

Who are you?
Built for energy market professionals.

Energy Trader

Distribution System Operator (DSO)

District Heating Operator

Power Producer

Aggregator

Energy Service Provider

Energy Trader
Competitiveness in energy markets is increasing with shorter trading horizons and increased volatility from weather-driven renewable production. The Rebase Platform provides tooling to create accurate energy forecasting models.

Weather

Power plants

DERs

Energy market

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Open energy modelling platform

Lap

Demand forecasts

Solar forecasts

Wind forecasts

Read about our integrations
Develop fully customizable models.
No compromises.
Get started quickly with state of the art open-source algorithms.
Take full control with our open-source Python SDK.
CREATE SITE

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import rebase as rb

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my_site = rb.Site(

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	name="My site",

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	type="wind",

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	latitude=57.3,

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	longitude=7.1,

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	capacity=2000

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)

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rb.create(my_site)
[OUT]
Creating site...
TRAIN MODEL

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import lightgbm as lgb

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class CustomWindModel(rb.Model):

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	def predict(self):

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	... your code

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	def train(self):

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	... your code

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rb.train(CustomWindModel)
[OUT]
Training model...

How we are different

Create end-to-end deployments using any other Python ML framework

Make backtests and forecastability evaluations in minutes

Access multiple weather forecasts providers through a single API

Ready to get started?

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