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Wind Power Ramp Event Forecasting on University of Sannio 5 classes (test)

86.2AccuracyEasyEnsemble-based WPRE forecasting framework
42.31253.70665.176.494Mar 20, 2026

Evaluation results

MethodLinks
EasyEnsemble-based WPRE forecasting frameworkl=4 (1 hour), Training time (s)=640.14, Test time (s)=18.482026.0386.2680.54288.3
BBl=4 (1 hour), Training time (s)=1.14, Test time (s)=< 0.12026.0386.148.20.44787.2
BRFl=4 (1 hour), Training time (s)=0.5, Test time (s)=< 0.12026.0384.644.50.37985.5
RVl=4 (1 hour), Training time (s)=0.25, Test time (s)=0.012026.0383.145.80.3984.9
RFl=4 (1 hour), Training time (s)=1.88, Test time (s)=0.022026.037746.40.31281.4
Prl=4 (1 hour), Training time (s)=0.09, Test time (s)=0.12026.0364.826.40.0871.1
LSTMcl=4 (1 hour), Training time (s)=86.14, Test time (s)=3.422026.034435.10.09456.3