Accelerate the world’s transition to a clean, affordable and reliable energy system. This is our quest and vision at Greenlytics. We are building the software that will be the brain allowing for tomorrow's renewable, distributed and smart energy system.
Uncertainty in the power production is one of the key factors holding back accelerated integration of renewable energy into the power grid globally. We make hard operation and dispatch decisions easy and reduce uncertainty for our customers. This is done by unlocking the latent value in weather, market and production/consumption data, transforming it into actionable insights. That’s exactly what Greenlytics is all about.
Our technology is based on machine learning and artificial intelligence algorithms that forecast, optimize and control distributed energy resources to increase their value in the power system and market.
What have we accomplished?
Since the incorporation of Greenlytics in 2018, we have developed an energy forecasting algorithm that gives state-of-the-art results when tested against competition in vendor trials. The forecasting service is currently running in live mode for our customers.
What is the challenge?
We are currently looking for a data scientist that will help us to further develop and prove our technology together with our pilot customers and research partners. During the pilots we will clearly show the business value of using our products, making it a no-brainer for the customers to implement them operationally. Typical data science challenges could be:
We work on continuously make small progress and grow together as a team to achieve these challenges.
Nice to have:
Why join us?
We are a small team and you would be playing a key role in the development of the company.
We are constantly meeting interesting people. So, if you’re interested, please write to us today and we’ll get back to you right away.
We at Greenlytics are on a quest to develop the software that will be the brain allowing for tomorrow's renewable and distributed energy system.
By unlocking the latent value in the data and transform it into actionable insights, we make hard decisions easy for our customers. This is achieved using algorithms the builds on machine learning to forecast, optimise and control distributed energy resources to increase their value in the power system and market.