4Cast GmbH & Co. KG
Oliver Kindler is an experienced project manager currently working at 4Cast GmbH & Co. KG since September 2021, focusing on operations, communication, and controlling. Prior experience includes roles as a retail sales specialist at Jacques' Wein-Depot Wein-Einzelhandel GmbH from May 2019 to July 2022, and as a research assistant in Theoretical Biophysics at the University of Potsdam from June 2017 to December 2018 under Professor Ralf Metzler. Additional positions include data examiner for AStA der Universität Potsdam and accommodation manager for the Max Planck Institute for Gravitational Physics. Oliver holds both a Master of Science and a Bachelor of Science in Biophysics, obtained from the University of Potsdam.
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4Cast GmbH & Co. KG
Wind energy in particular is notoriously difficult to predict. Regional, small-scale effects such as vegetation or neighboring turbines influence electricity generation on a large scale. This makes predictions based solely on weather data unreliable because their geographic resolution is too coarse. The solution is to use your historical production data. All these effects are hidden in there! Our algorithms can read your data like an open book and infer the regional characteristics of the location. Supplemented by weather data from a variety of sources, we apply machine learning technology to your production data to learn an optimal model that meets your specific needs. Our specialty is learning analytic models using Datacentric AI, Meta Search Strategies, and other methods, but our algorithms also have all the current deep learning techniques. The result is prediction of unprecedented precision. Whether you need highly accurate intraday forecasts to minimize financial losses in energy trading, or short-term forecasts to accurately estimate power production to meet regulatory requirements, choose 4cast.
Employees
11-50