Day-Ahead Hourly Solar Irradiance Forecasting Based on Multi-Attributed Spatio-Temporal Graph Convolutional Network

Solar irradiance forecasting is fundamental and essential for commercializing solar energy generation by overcoming output variability. Accurate forecasting depends on historical solar irradiance data, correlations between various meteorological variables (e.g., wind speed, humidity, and cloudiness)...

Descripción completa

Detalles Bibliográficos
Autores principales: Jeon, Hyeon-Ju, Choi, Min-Woo, Lee, O-Joun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572285/
https://www.ncbi.nlm.nih.gov/pubmed/36236280
http://dx.doi.org/10.3390/s22197179

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572285/
https://www.ncbi.nlm.nih.gov/pubmed/36236280
http://dx.doi.org/10.3390/s22197179

Ejemplares similares