Temporally Correlated Deep Learning-Based Horizontal Wind-Speed Prediction

Temporally Correlated Deep Learning-Based Horizontal Wind-Speed Prediction

Wind speed affects aviation performance, clean energy production, and other applications. By accurately predicting wind speed, operational delays and accidents can be avoided, while the efficiency of wind energy production can also be increased. This paper initially overviews the definition, charact...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Lintong Li, Jose Escribano-Macias, Mingwei Zhang, Shenghao Fu, Mingyang Huang, Xiangmin Yang, Tianyu Zhao, Yuxiang Feng, Mireille Elhajj, Arnab Majumdar, Panagiotis Angeloudis, Washington Ochieng
Μορφή: Άρθρο
Γλώσσα:English
Έκδοση: MDPI AG 2024-09-01
Σειρά:Sensors
Θέματα:
horizontal wind-speed prediction
temporal correlation
quality indicator
LSTM
Bi-LSTM
Διαθέσιμο Online:https://www.mdpi.com/1424-8220/24/19/6254

Διαδίκτυο

https://www.mdpi.com/1424-8220/24/19/6254

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