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Time-Series Embeddings from Language Models:A Tool for Wind Direction Nowcasting

Décio ALVES Fábio MENDONÇA Sheikh Shanawaz MOSTAFA Fernando MORGADO-DIAS

气象学报（英文版）2024，Vol.38Issue(3)：558-569,12.

气象学报（英文版）2024，Vol.38Issue(3)：558-569,12.DOI:10.1007/s13351-024-3151-9

Time-Series Embeddings from Language Models:A Tool for Wind Direction Nowcasting

Décio ALVES ¹Fábio MENDONÇA ¹Sheikh Shanawaz MOSTAFA ¹Fernando MORGADO-DIAS¹

作者信息

1. University of Madeira,Campus Universitário da Penteada 9020-105 Funchal,Portugal||Interactive Technologies Institute/Laboratory for Robotics and Engineering Systems and Agência Regional para o Desenvolvimento da Investigação,Tecnologia e Inovação,Edif.Madeira Tecnopolo,Caminho da Penteada piso-2,9020-105 Funchal,Portugal
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摘要

关键词

wind nowcasting/wind components/wind direction/time series prediction/deep learning

Key words

wind nowcasting/wind components/wind direction/time series prediction/deep learning

引用本文复制引用

Décio ALVES,Fábio MENDONÇA,Sheikh Shanawaz MOSTAFA,Fernando MORGADO-DIAS..Time-Series Embeddings from Language Models:A Tool for Wind Direction Nowcasting[J].气象学报（英文版）,2024,38(3):558-569,12.

基金项目

Supported by Interactive Technologies Institute/Larsys/Fundação para a Ciência e a Tecnologia(10.54499/LA/P/0083/2020,10.54499/UIDP/50009/2020,and 10.54499/UIDB/50009/2020),Agência Regional para o Desenvolvimento da Investigação,Tecnologia e Inovação,and Portuguese Technical Engineering Order(OET). （10.54499/LA/P/0083/2020,10.54499/UIDP/50009/2020,and 10.54499/UIDB/50009/2020）

气象学报（英文版）

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ISSN：0894-0525

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