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Institute for Automation and Applied Informatics
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Current scoring rules may lead to overconfident forecasts that misrepresent uncertainty, risking poor decision-making in energy markets.
Foundation models don't always win: task-specific models can rival or even beat them in electricity price forecasting, especially with clever feature engineering or transfer learning.