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energy-markets

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⚡ Predict natural gas consumption with advanced machine learning using multivariate time series analysis and ensemble techniques for high accuracy.

  • Updated Apr 14, 2026
  • Python

A Data-Driven Decision Support System to optimize industrial energy procurement and mitigate tail risks in the Spanish electricity market (Spot/Futures hedging). Developed for the Advanced Business Analytics course (42578) at DTU.

  • Updated Apr 12, 2026
  • Python

Causal ML for Swiss aFRR price spike prediction — German wind forecast errors → unplanned loop flows → balancing cost spikes. XGBoost + SHAP + MLflow + Databricks + Airflow pipeline with PSI drift monitoring and champion/challenger retraining.

  • Updated Mar 15, 2026
  • Python

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