Day-ahead wind power forecasting based on feature extraction integrating vertical layer wind characteristics in complex terrain

Keunmin Lee, Bongjoon Park, Jeongwon Kim and Jinkyu Hong

Energy, 2024, vol. 288, issue C

Abstract: Accurate wind power forecasts help establish efficient power supply plans and stabilize power systems. For long-term forecasts, the outputs of numerical weather prediction (NWP) models are pipelined as inputs for the statistical post-processing model, underscoring the necessity of understanding forecasts simulated from NWP to enhance power prediction accuracy.

Keywords: Wind power forecast; Complex terrain; Weather and research forecasting (WRF); Light gradient boosting machine (LGBM); Principal component analysis (PCA) (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:288:y:2024:i:c:s0360544223031080

DOI: 10.1016/j.energy.2023.129713

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