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101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aNew challenges in solar radiation, modeling and remote sensing /$fedited by Dimitris Kaskaoutis, Jesu?s Polo
210  1$a[Place of publication not identified] :$cMultidisciplinary Digital Publishing Institute,$d2023.
215   $a1 online resource (222 pages)
311   $a3-0365-7871-4 
330   $aThis 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.
606   $aSolar radiation$xPhysiological effect
615  0$aSolar radiation$xPhysiological effect.
676   $a551.5271
702   $aPolo$b Jesu?s
702   $aKaskaoutis$b Dimitris
801  0$bNjHacI
801  1$bNjHacl
906   $aBOOK
912   $a9910734365203321
996   $aNew Challenges in Solar Radiation, Modeling and Remote Sensing$93399772
997   $aUNINA