Rebase energy
Welcome to Rebase Platform Documentation!
Rebase Platform is a cloud service that enables energy engineers and data scientists to create, deploy and monitor fully customisable energy forecasting models at scale. The platform supports creation of solar power, wind power and electricity demand forecasts using state-of-the-art machine learning methods, including gradient boosting decision
GitHub
The aim of EnergyDataModel is to provide the energy data and modelling community with a Python-based open-source tool to enable improvement of software engineering aspects like code quality, maintainability, modularity, reusability and interoperability. We believe that bringing more rigorous software engineering practices to the energy data community has the potential to
Rebase Energy
En los tres años desde que se estableció, Rebase Energy ha encontrado un aliado importante en el programa Startup with IBM® Accelerator Sweden, un programa de tutorías destinado a ayudar a las empresas emergentes a tener éxito.Haglund El Gaidi explica: "Con el equipo de IBM Accelerator recibimos muchos aportes, no solo en el aspecto tecnológico, sino también en el
Rebase Energy Company Profile 2024: Valuation, Funding
Rebase Energy''s primary industry is Business/Productivity Software. Is Rebase Energy a private or public company? Rebase Energy is a Private company. What is Rebase Energy''s current revenue? The current revenue for Rebase Energy is . How much funding has Rebase Energy raised over time?
How it works
Energy forecasting is about creating mathematical models to predict future energy supply and demand. Any Python framework and code can be used in the Rebase Platform to develop an energy forecast models. Several of the more common frameowrks already have pre-implemented energy forecasting models. Below is a list of frameworks that have an
Hybrid Energy Forecasting and Trading Competition
Data: rebase.energy have provided convenient APIs for most of the data you will need. However, there is no restriction on the use of additional data. Additional open data sources are suggested in documentation. Missed submissions: A team may miss up to five submissions during the competition period. Missing entries will be filled by the Open
The Python-first energy forecasting platform | rebase.energy
The Rebase Platform provides tooling to create accurate energy forecasting models. Read about our integrations. Get started quickly with state of the art open-source algorithms. Take full control with our open-source Python SDK. Create end-to-end
Rebase Energy
Rebase Energy aims to empower tomorrow''s energy innovators with data and digital tools like AI and big data to increase the pace of change to a sustainable energy system. With more and more weather-dependent distributed energy resources like wind and solar, there is a need for accurate forecasting that in return means an increased degree of
Hybrid Energy Forecasting and Trading Competition
Create, iterate and deploy state-of-the-art energy models for planning and optimisation of distributed energy systems. Resources. Blog. Read insightful blog posts on various topics. Challenges. Participate in community challenges and win prizes. Rebase Challenges are community challenges aimed at accelerating the global transition to net
Blog | rebase.energy
We rapidly need to rebase the energy system on sustainable energy sources. It is not easy to fully appreciate the magnitude of this undertaking. The execution of the energy transition and alignment with the Paris Agreement is estimated to be a
Tutorial to Get Started with Rebase API
The response is a serialized table with the following columns: valid_time: It contains the target times, i.e. the periods which are forecasted. forecast: It contains the forecast values. model_name: It contains the names of the models which create the forecasts. model_version: It contains the versions of the models which create the forecasts. update_time: It contains the
GitHub
enerflow is an open-source Python framework that enables energy data scientists and modellers to write modular and reproducible energy models that solves sequential decision problems. It is based on both OpenAI Gym (now Gymnasium) and Warran Powell''s universal sequential decision framework. enerflow lets you:. 🛤️ Structure your code as modular and reusable components
Team | rebase.energy
The energy transition is happening now. To become energy independent and fossil-free, we need to both be more resourceful and deploy clean energy resources. And we are in quite a rush to do it, if we are to mitigate climate change. At rebase.energy we are dedicated to playing our part.
rebase.energy: Building the world''s first open and
Energy traders rely on Rebase''s forecasting tool to remain competitive and build robust portfolios while managing the inherent risks associated with renewable energy investments. Centralizing data at Rebase
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