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arshc0der / Wind_Power_Generation_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.

python data-science machine-learning scikit-learn jupyter-notebook eda climate-data feature-engineering regression-models energy-efficiency forecasting-models renewable-energy time-series-analysis wind-energy ml-project green-energy power-generation environmental-data energy-prediction wind-power-forecasting
  • Updated Jul 14, 2025
  • Jupyter Notebook

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