Machine Learning Approach to Very Short-term Forecasting for German Continuous Intraday Power Market

Machine Learning Approach to Very Short-term Forecasting for German Continuous Intraday Power Market

Explore a 20-minute conference talk from the 51st Conference on Applications of Mathematics, presented by Andrzej Puć from Wrocław University of Science and Technology. Delve into the application of machine learning techniques for very short-term forecasting in the German Continuous Intraday Power Market. Gain insights into how advanced mathematical models and algorithms are being utilized to predict and analyze power market dynamics in real-time scenarios.