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Create production-ready
Energy AI-forecastsin minutes.

Focus on what brings value to you - creating accurate energy forecasts.

Our platform takes care of the rest.

Weather datasets
SOTA open-source ML models
Data pipelining
Backtesting
Deployment

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
[IN]

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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
[IN]

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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...

Spend zero time on infrastructure.

We provide you the tools, data and infrastructure needed so that you can focus on creating the best machine learning models.

REBASE COMPUTE INFRASTRUCTURE
Historical weather
Model training
Backtesting
You can focus on creating the best models
Hyperparam. optimization
ML CODE
Serving API
Deployment
Performance monitoring
Forecast generation

Aggregate forecasts.
Gain 5-15% accuracy.

Use our smart aggregation layer to aggregate your own forecasts or third-party forecasts, and improve accuracy by up to 5-15%.

Built for energy
market professionals.

Who are you?

Energy Trader

Distribution System Operator

District Heating Operator

Power Producer

Aggregator

Service Provider

Energy Trader

Competitiveness in energy markets is increasing with shorter trading horizons and increased volatility from weather-driven renewable production.

Our weather API and open source SDK allows energy traders to develop analytics and machine learning applications such as advance forecasting and algorithmic trading.

Can we improve your
energy forecast accuracy?

Get free backtesting for 10 sites right now.
Zero commitment.

START BACKTESTING

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