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Temperature Prediction Based on Bidirectional Long Short-Term Memory and Convolutional Neural Network Combining Observed and Numerical Forecast Data

Weather is affected by a complex interplay of factors, including topography, location, and time. For the prediction of temperature in Korea, it is necessary to use data from multiple regions. To this end, we investigate the use of deep neural-network-based temperature prediction model time-series we...

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Detalles Bibliográficos
Autores principales:	Jeong, Seongyoep, Park, Inyoung, Kim, Hyun Soo, Song, Chul Han, Kim, Hong Kook
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866986/ https://www.ncbi.nlm.nih.gov/pubmed/33572653 http://dx.doi.org/10.3390/s21030941

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