Spatial Assessment of Solar Radiation by Machine Learning and Deep Neural Network Models Using Data Provided by the COMS MI Geostationary Satellite: A Case Study in South Korea

Although data-driven methods including deep neural network (DNN) were introduced, there was not enough assessment about spatial characteristics when using limited ground observation as reference. This work aimed to interpret the feasibility of several machine learning approaches to assess the spatia...

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Detalles Bibliográficos
Autores principales: Yeom, Jong-Min, Park, Seonyoung, Chae, Taebyeong, Kim, Jin-Young, Lee, Chang Suk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6539294/
https://www.ncbi.nlm.nih.gov/pubmed/31060305
http://dx.doi.org/10.3390/s19092082

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6539294/
https://www.ncbi.nlm.nih.gov/pubmed/31060305
http://dx.doi.org/10.3390/s19092082

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