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DOI	10.1007/s00704-021-03843-2
	Sunshine duration measurements and predictions in Saharan Algeria region: an improved ensemble learning approach
	El-kenawy, El-Sayed M.; Ibrahim, Abdelhameed; Bailek, Nadjem; Bouchouicha, Kada; Hassan, Muhammed A.; Jamei, Mehdi; Al-Ansari, Nadhir
通讯作者	Bailek, N (corresponding author), Univ Tamanghasset, Fac Sci & Technol, Energies & Mat Res Lab, Tamanrasset, Algeria.
来源期刊	THEORETICAL AND APPLIED CLIMATOLOGY
ISSN	0177-798X
EISSN	1434-4483
出版年	2022
英文摘要	Sunshine duration is an important atmospheric indicator used in many agricultural, architectural, and solar energy applications (photovoltaics, thermal systems, and passive building design). Hence, it should be estimated accurately for areas with low-quality data or unavailable precise measurements. This paper aimed to obtain a sunshine duration measurement database in Algeria's south region and also to study the applicability of computational models to predict them. This work develops ensemble learning models for assessing daily sunshine duration with meteorological datasets that include daily mean relative humidity, daily mean air temperature, daily maximum air temperature, daily minimum air temperature, and daily temperature range as input. The study proposes a unique hybrid model, combining grey wolf and stochastic fractal search (GWO-SFS) optimization algorithms with the random forest regressor ensemble. A pre-feature selection process improved the newly suggested model. Various commonly adopted algorithms in relevant studies have been considered as references for evaluating the new hybrid algorithm. The accuracy of models was examined as a function of some frequently used statistical pointers, as well as the Wilcoxon rank-sum test. Besides, the models were evaluated according to the several input combinations. The numerical experiments show that the proposed optimization ensemble with feature preprocessing outperforms stand-alone models in terms of prediction accuracy and robustness, where relative root mean square errors are reduced by over 20% for all considered locations. In addition, all correlation coefficients are higher than 0.999. Moreover, the proposed model, with RMSEs lower than 0.4884 hours, shows significantly superior performances compared to previously proposed models in the literature.
英文关键词	Sunshine duration Solar energy Hybrid ensemble learning approach Algerian desert
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000722832500001
WOS关键词	GLOBAL SOLAR-RADIATION ; FEATURE-SELECTION ; CAMPBELL-STOKES ; CLASSIFICATION ; IRRADIATION ; CLOUDINESS ; ALGORITHM ; RECORDS ; SEARCH ; MODEL
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/374636
作者单位	[El-kenawy, El-Sayed M.] Delta Higher Inst Engn & Technol, Dept Commun & Elect, Mansoura, Egypt; [El-kenawy, El-Sayed M.] Delta Univ Sci & Technol, Fac Artificial Intelligence, Mansoura 35712, Egypt; [Ibrahim, Abdelhameed] Mansoura Univ, Fac Engn, Comp Engn & Control Syst Dept, Mansoura, Egypt; [Bailek, Nadjem] Univ Tamanghasset, Fac Sci & Technol, Energies & Mat Res Lab, Tamanrasset, Algeria; [Bouchouicha, Kada] Ctr Dev Energies Renouvelables CDER, Unite Rech Energies Renouvelables Milieu Saharien, Adrar 01000, Algeria; [Hassan, Muhammed A.] Cairo Univ, Fac Engn, Mech Power Engn Dept, Giza 12613, Egypt; [Jamei, Mehdi] Shahid Chamran Univ Ahvaz, Fac Fac Engn, Shohadaye Hoveizeh Campus Technol, Dashte Azadegan, Iran; [Al-Ansari, Nadhir] Lulea Univ Technol, Dept Civil Environm & Nat Resources Engn, S-97187 Lulea, Sweden
推荐引用方式 GB/T 7714	El-kenawy, El-Sayed M.,Ibrahim, Abdelhameed,Bailek, Nadjem,et al. Sunshine duration measurements and predictions in Saharan Algeria region: an improved ensemble learning approach[J],2022.
APA	El-kenawy, El-Sayed M..,Ibrahim, Abdelhameed.,Bailek, Nadjem.,Bouchouicha, Kada.,Hassan, Muhammed A..,...&Al-Ansari, Nadhir.(2022).Sunshine duration measurements and predictions in Saharan Algeria region: an improved ensemble learning approach.THEORETICAL AND APPLIED CLIMATOLOGY.
MLA	El-kenawy, El-Sayed M.,et al."Sunshine duration measurements and predictions in Saharan Algeria region: an improved ensemble learning approach".THEORETICAL AND APPLIED CLIMATOLOGY (2022).