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

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  • Lee, Keunmin
  • Park, Bongjoon
  • Kim, Jeongwon
  • Hong, Jinkyu

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.

Suggested Citation

  • Lee, Keunmin & Park, Bongjoon & Kim, Jeongwon & Hong, Jinkyu, 2024. "Day-ahead wind power forecasting based on feature extraction integrating vertical layer wind characteristics in complex terrain," Energy, Elsevier, vol. 288(C).
    • Handle: RePEc:eee:energy:v:288:y:2024:i:c:s0360544223031080
    DOI: 10.1016/j.energy.2023.129713
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    References listed on IDEAS

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