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This research paper aims to identify the most effective algorithms for predicting electricity prices in the German day-ahead market, with a specific emphasis on how renewable energy sources, particularly wind and solar, influence hourly price pro- files. These profiles, or characteristic patterns, depict how prices fluctuate within a day. Different machine learning regression models and methods ar
