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GIC Forecasting & Analysis — A data-driven framework for modeling Geomagnetically Induced Currents using solar wind data, SuperMAG observations, and advanced ML techniques. Integrates domain physics, feature engineering, and imputation strategies to tackle real-world space weather challenges.
Code used to recreate the experiments in the paper 'Dynamic Time Warping as a New Evaluation for Dst Forecast with Machine Learning', published in Frontiers Astronomy and Space Sciences.