The ML-Strom project explores electricity markets by applying advanced statistical methods and machine learning to individual power plant data. The project aims to gain insights on the technical and economic aspects of the dispatch of these plants. This acquired knowledge will be used to improve existing framework for energy modelling and market power detection.
Affiliated Faculty
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Lion Hirth, Professor of Energy Policy
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Lynn Kaack, Assistant Professor of Computer Science and Public Policy
