Temporally partitioned wind-power forecasting on the DaKS/Kassel dataset, with full-cohort tabular benchmarks, four-park neural/sequence experiments, and validation-calibrated residual screening for PHM-oriented research.
python machine-learning scikit-learn jupyter-notebook xgboost renewable-energy wind-energy time-series-forecasting digital-twin undergraduate-thesis wind-power-forecasting residual-diagnostics kassel-dataset graph-aware-forecasting health-aware-diagnostics
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Oct 27, 2026 - Jupyter Notebook