ENERGY

An Interview with Rebasian Technologies AB

December 23, 2022

Rebase Energy is a digital energy startup founded in 2018 and based in Stockholm, Sweden. The company provides data and digital tools to plan and optimise distributed energy resources including solar, wind, batteries, EV charging and heat pumps. Using the Rebase Platform, it is possible to create digital twins of distributed energy systems and run thousands of scenarios to find the most optimal systems in pre-installation mode. Deployed assets can then be forecasted and optimised to maximise their value in energy grids and markets.

 

PLATOON is helping to fund your company’s development of enerflow—an open-source project for DER (distributed energy resources) optimisation. Can you tell us more about the project, and how its open-source nature has helped its development?

 

The enerflow project was started from the realisation that a common framework to develop and benchmark forecast, simulation and optimisation algorithms for DER planning and operations. We choose to open-source the project because it is a great way to make sure that anyone that wants to reimplement the models we have developed can do so easily. This is the way we can have the highest possible impact.

 

Part of your award from PLATOON was an invitation to join the Technology Transfer Programme. How do you feel this has benefitted your company?

 

The programme has been a great opportunity for Rebase to work towards our vision to enable energy innovators with data and digital to accelerate the energy transition. Concretely, we have developed a wind power forecasting algorithm that has been tested at one of the Platoon pilot sites.

 

Rebase has also created the Rebase Platform, which creates digital twins of distributed energy systems, and SDK, a Python toolkit for creating and deploying weather-based forecasting models. Can you talk a little about how technological solutions like this can improve the sustainability of the energy sector?

 

The energy sector is transitioning rapidly. In order to make sure the transition is implemented in the most efficient way, it is paramount that we create models of the energy systems to support data-driven decision-making. For instance, forecasting models will enable a better balance between supply and demand, meaning that less energy will go to waste.

 

Do you have any advice for startups launching into the sustainability or smart technology sectors?

 

Find a problem (not a solution) that you deeply care about. Talk with potential customers and try to understand the world from their perspective. Learn how to sell because it is an amazing skill to have. Be persistent by taking in what you’ve learnt and strive for continuous improvement of yourself and your startup. Remember to have fun and celebrate small successes along the way - it’s important!

 

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