A CAISO case study reports that combining IQR and sparse-matrix outlier removal with PCA features slightly reduces day-ahead price forecast RMSE, though the gain is small and the analysis is underdocumented.
A price-based demand response scheduling model in day-ahead electricity market,
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Anomaly Detection in California Electricity Price Forecasting: Enhancing Accuracy and Reliability Using Principal Component Analysis
A CAISO case study reports that combining IQR and sparse-matrix outlier removal with PCA features slightly reduces day-ahead price forecast RMSE, though the gain is small and the analysis is underdocumented.