Competing in the energy market means selling your power before it is produced. How, therefore, do you ensure you can meet or exceed your projections by keeping your grid frequency constant? PES heard from Sascha Bauer, CEO at 4cast, about the power of technology to forecast the energy output from renewable energy power plants.
PES: It’s great to speak to you Sascha. Perhaps we should begin with a brief introduction to 4cast, if we may?
Sascha Bauer: Thank you very much for having us. 4cast is a joint venture of wind power pioneers and scientists. Our team competences range from physics, meteorology, data science to state of the art machine learning techniques. Currently, we focus our efforts on forecasting the energy output from renewable energy power plants, so far wind and solar, with consecutively increasing accuracy. Furthermore, within the framework of the EU Maelstrom project, 4cast has a leading role in the development of software tools for a better work flow when using weather and climate forecasts based on machine learning techniques. In this regard, we work in close cooperation with the European Center for Medium-Range Weather Forecasts (ECMWF).
PES: So your focus, currently at least, is on energy yield predictions driven by your machine learning models, is that correct?
