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Informer-Based Temperature Prediction Using Observed and Numerical Weather Prediction Data
This paper proposes an Informer-based temperature prediction model to leverage data from an automatic weather station (AWS) and a local data assimilation and prediction system (LDAPS), where the Informer as a variant of a Transformer was developed to better deal with time series data. Recently, deep...
Autores principales: | Jun, Jimin, Kim, Hong Kook |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10459812/ https://www.ncbi.nlm.nih.gov/pubmed/37631584 http://dx.doi.org/10.3390/s23167047 |
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