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

START FOR FREE

BOOK A DEMO

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]

import rebase as rb

my_site = rb.Site(

	name="My site",

	type="wind",

	latitude=57.3,

	longitude=7.1,

	capacity=2000

rb.create(my_site)

[OUT]

Creating site...

TRAIN MODEL

[IN]

import lightgbm as lgb

class CustomWindModel(rb.Model):

	def predict(self):

	... your code

	def train(self):

	... your code

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.