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wind-power-forecasting

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Wind Power Generation Forecasting using Machine Learning A data-driven forecasting project that uses machine learning models to predict wind power generation based on historical energy and weather data. Includes preprocessing, EDA, model training, and performance evaluation—all inside a well-documented Jupyter Notebook.

  • Updated Jul 14, 2025
  • Jupyter Notebook

Forecasting-first thesis repository for spatio-temporal wind power forecasting on the DaKS/Kassel synthetic wind power dataset, with benchmark-safe diagnostics and graph-aware evaluation.

  • Updated May 16, 2026
  • Jupyter Notebook

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