New Challenges in Solar Radiation, Modeling and Remote Sensing

This reprint gathers several works focused on recent and novel research in solar radiation modeling and forecasting where remote sensing techniques and retrieval information is employed as a part of the methodology. The use of machine learning algorithms in solar irradiance modeling and solar power...

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Detalles Bibliográficos
Otros Autores: Polo, Jesús (Editor), Kaskaoutis, Dimitris (Editor)
Formato: Electrónico Capítulo de libro
Lenguaje:inglés
Publicado: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
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Acceso en línea:DOAB: download the publication
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Descripción
Sumario:This reprint gathers several works focused on recent and novel research in solar radiation modeling and forecasting where remote sensing techniques and retrieval information is employed as a part of the methodology. The use of machine learning algorithms in solar irradiance modeling and solar power forecasting is included in some of the works here presented. This is a topic with high interest nowadays because of the impact in solar energy deployment and in atmospheric studies as well. The recent improved remote sensing information and available data and the advances in machine learning algorithms have a relevant presence in this reprint indicating the current ad near future path of the contributions in solar radiation modeling.
Descripción Física:1 electronic resource (222 p.)
ISBN:books978-3-0365-7871-2
9783036578705
9783036578712
Acceso:Open Access