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Wind Power Ramp Event Forecasting on University of Sannio 3 classes (test)

90.7AccuracyEasyEnsemble-based WPRE forecasting framework
46.60458.05269.580.948Mar 20, 2026

Evaluation results

MethodLinks
EasyEnsemble-based WPRE forecasting frameworkl=4 (1 hour), Training time (s)=2710.68, Test time (s)=19.42026.0390.791.567.991.7
RBl=4 (1 hour), Training time (s)=0.65, Test time (s)=< 0.012026.0387.772.75488.7
Prl=4 (1 hour), Training time (s)=0.13, Test time (s)=0.12026.0385.951.938.686.1
BBl=4 (1 hour), Training time (s)=0.16, Test time (s)=< 0.012026.0384.967.947.386.7
BRFl=4 (1 hour), Training time (s)=0.51, Test time (s)=< 0.012026.0381.972.743.784.6
RFl=4 (1 hour), Training time (s)=1.21, Test time (s)=< 0.22026.0377.772.438.581.6
LSTMcl=4 (1 hour), Training time (s)=79.69, Test time (s)=3.172026.0348.356.313.757.9