Machine Learning technology can predict renewable energy production, making investments safer and more reliable. With data analysis and image recognition, it is possible to accurately estimate the sun energy potential of a roof or the energy output of a wind farm.
By using satellite data, Machine Learning algorithms can monitor the amount of CO2 captured by a reforestation project or the sources of greenhouse gas emissions in certain areas. This can help companies to track their progress in reducing emissions and to measure the effectiveness of compensation projects worldwide.
A smart grid is a network that is able to manage and optimize decentralized energy generation, consumption and distribution. Machine Learning methods can help to develop smart grids by predicting renewable energy production and demand. This leads to more sustainable and stable grids that anticipate energy disruptions and redirect energy resources.
We are a software company specialized in Algorithms and Machine Learning (ML) and most of our 30+ employees have a scientific background in Mathematics and Physics. We follow the developments in ML research and have multiple years of experience bringing this knowledge to customers and into production.
No Machine Learning task is alike. The data that is available and the requirements always differ and might not be captured by off-the-shelf software. From us, you get an individual solution. You own the code, the data and we integrate it into your current software environment.
We offer initial proof of concepts and the complete development of production software. Due to the experience and background of our team we can as well offer larger research projects.
In our Tech Lunch, we will give you 45 minutes of information on a ML topic of your choice.
In our ML Expert talk you will get 1 hour consultation & discussion about your specific use case.
Not sure? Pick the first option.
Your dida-Partner:
ML Project Manager
I am new to Machine Learning
I have a project idea already