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Morteza Taki, Abbas Rohani, Hasan Yildizhan & Rouhollah Farhadi. (2019) Energy-exergy modeling of solar radiation with most influencing input parameters. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 41:17, pages 2128-2144.
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Ali Daliran, Morteza Taki, Afshin Marzban, Majid Rahnama & Rouhollah Farhadi. (2023) Experimental evaluation and modeling the mass and temperature of dried mint in greenhouse solar dryer; Application of machine learning method. Case Studies in Thermal Engineering 47, pages 103048.
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Fatemeh Sohrabi Geshnigani, Mohammad Reza Golabi, Rasoul Mirabbasi & Mohammad Nazeri Tahroudi. (2023) Daily solar radiation estimation in Belleville station, Illinois, using ensemble artificial intelligence approaches. Engineering Applications of Artificial Intelligence 120, pages 105839.
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Naveen Krishnan, K. Ravi Kumar & Chandrapal Singh Inda. (2023) How solar radiation forecasting impacts the utilization of solar energy: A critical review. Journal of Cleaner Production 388, pages 135860.
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Mohammad Sina Jahangir, Seyed Mostafa Biazar, David Hah, John Quilty & Mohammad Isazadeh. (2021) Investigating the impact of input variable selection on daily solar radiation prediction accuracy using data-driven models: a case study in northern Iran. Stochastic Environmental Research and Risk Assessment 36:1, pages 225-249.
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Latif Doğan DİNSEVER, Veysel GÜMÜŞ, Oğuz ŞİMŞEK, Yavuz AVŞAROĞLU & Mehmet KUŞ. (2021) Adıyaman ve Gaziantep İstasyonlarındaki Güneşlenme Şiddetinin Destek Vektör Makineleri ile TahminiEstimation of Solar Radiation in Adıyaman and Gaziantep Stations Using Support Vector Machines. Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi 8:2, pages 753-769.
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Hu Chen, Xiaohui Chu & Qi Jia. (2021) RETRACTED ARTICLE: Windbreak and sand fixation of sand plants based on intelligent image processing and plant landscape design. Arabian Journal of Geosciences 14:17.
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Zhanhui Liu. (2021) RETRACTED ARTICLE: Mountain soil characteristics and agrotourism management optimization based on distributed collaboration. Arabian Journal of Geosciences 14:15.
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Yong Zhou, Yanfeng Liu, Dengjia Wang, Xiaojun Liu & Yingying Wang. (2021) A review on global solar radiation prediction with machine learning models in a comprehensive perspective. Energy Conversion and Management 235, pages 113960.
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Cícero Manoel dos Santos, Érico Tadao Teramoto, Amaury de Souza, Flavio Aristone & Razika Ihaddadene. (2021) Several models to estimate daily global solar irradiation: adjustment and evaluation. Arabian Journal of Geosciences 14:4.
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Meysam Alizamir, Sungwon Kim, Ozgur Kisi & Mohammad Zounemat-Kermani. (2020) A comparative study of several machine learning based non-linear regression methods in estimating solar radiation: Case studies of the USA and Turkey regions. Energy 197, pages 117239.
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Érico Tadao Teramoto, Darllan Collins da Cunha e Silva, Cícero Manoel Dos Santos, Levi Pompermayer Machado & João Francisco Escobedo. (2019) ESTIMATIVA DA RADIAÇÃO GLOBAL DIÁRIA A PARTIR DE VARIÁVEIS METEOROLÓGICAS COMUNS EM AMBIENTE SUBTROPICAL ÚMIDO. Nativa 7:6, pages 693.
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S. Kanwal, B. Khan, S.M. Ali & C.A. Mehmood. (2018) Gaussian process regression based inertia emulation and reserve estimation for grid interfaced photovoltaic system. Renewable Energy 126, pages 865-875.
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Lee Wai Chong, Rong Wang Ng, Yee Wan Wong & Rajprasad Kumar Rajkumar. (2018) One-Hour Ahead Prediction of Solar Irradiance Using Support Vector Machines. One-Hour Ahead Prediction of Solar Irradiance Using Support Vector Machines.
Behrooz Keshtegar, Cihan Mert & Ozgur Kisi. (2018) Comparison of four heuristic regression techniques in solar radiation modeling: Kriging method vs RSM, MARS and M5 model tree. Renewable and Sustainable Energy Reviews 81, pages 330-341.
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Hilmi Cenk Bayrakçı, Cihan Demircan & Ali Keçebaş. (2018) The development of empirical models for estimating global solar radiation on horizontal surface: A case study. Renewable and Sustainable Energy Reviews 81, pages 2771-2782.
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Abbas Rohani, Morteza Taki & Masoumeh Abdollahpour. (2018) A novel soft computing model (Gaussian process regression with K-fold cross validation) for daily and monthly solar radiation forecasting (Part: I). Renewable Energy 115, pages 411-422.
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