Prompt Content
Develop and train an advanced time-series forecasting model (e.g., based on Transformers, LSTM, or Prophet with exogenous variables) to predict hourly energy prices for the next 24-48 hours. Integrate features derived from the preprocessed weather and demand data. Justify your model choice and hyperparameter tuning strategy. Provide metrics demonstrating forecast accuracy.
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