Enhancing ultra short-term wind power prediction accuracy with feature-based CNN-LSTM models: A comparative study
Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy
Published online on June 17, 2026
Abstract
Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, Ahead of Print.
This study explores the enhancement of ultra-short-term wind power prediction accuracy through a novel integration of Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) models, enriched with an innovative feature-based approach. ...
This study explores the enhancement of ultra-short-term wind power prediction accuracy through a novel integration of Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) models, enriched with an innovative feature-based approach. ...