IDEAS home Printed from https://ideas.repec.org/r/eee/renene/v47y2012icp38-44.html

Estimating global solar radiation using common meteorological data in Akure, Nigeria

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Seim, Fredrik & Gravdahl, Arne R. & Adaramola, Muyiwa S., 2017. "Validation of kinematic wind turbine wake models in complex terrain using actual windfarm production data," Energy, Elsevier, vol. 123(C), pages 742-753.
  2. Ghasemi Mobtaker, Hassan & Ajabshirchi, Yahya & Ranjbar, Seyed Faramarz & Matloobi, Mansour, 2016. "Solar energy conservation in greenhouse: Thermal analysis and experimental validation," Renewable Energy, Elsevier, vol. 96(PA), pages 509-519.
  3. Mohamed A. Ali & Ashraf Elsayed & Islam Elkabani & Mohammad Akrami & M. Elsayed Youssef & Gasser E. Hassan, 2023. "Optimizing Artificial Neural Networks for the Accurate Prediction of Global Solar Radiation: A Performance Comparison with Conventional Methods," Energies, MDPI, vol. 16(17), pages 1-30, August.
  4. Zang, Haixiang & Jiang, Xin & Cheng, LiLin & Zhang, Fengchun & Wei, Zhinong & Sun, Guoqiang, 2022. "Combined empirical and machine learning modeling method for estimation of daily global solar radiation for general meteorological observation stations," Renewable Energy, Elsevier, vol. 195(C), pages 795-808.
  5. Giwa, Adewale & Alabi, Adetunji & Yusuf, Ahmed & Olukan, Tuza, 2017. "A comprehensive review on biomass and solar energy for sustainable energy generation in Nigeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 620-641.
  6. Mohanty, Sthitapragyan & Patra, Prashanta Kumar & Sahoo, Sudhansu Sekhar, 2016. "Prediction and application of solar radiation with soft computing over traditional and conventional approach – A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 778-796.
  7. James Rodway & Petr Musilek, 2017. "Harvesting-Aware Energy Management for Environmental Monitoring WSN," Energies, MDPI, vol. 10(5), pages 1-19, May.
  8. Despotovic, Milan & Nedic, Vladimir & Despotovic, Danijela & Cvetanovic, Slobodan, 2015. "Review and statistical analysis of different global solar radiation sunshine models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1869-1880.
  9. Bayrakçı, Hilmi Cenk & Demircan, Cihan & Keçebaş, Ali, 2018. "The development of empirical models for estimating global solar radiation on horizontal surface: A case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2771-2782.
  10. Samuel Chukwujindu, Nwokolo, 2017. "A comprehensive review of empirical models for estimating global solar radiation in Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 955-995.
  11. Teke, Ahmet & Yıldırım, H. Başak & Çelik, Özgür, 2015. "Evaluation and performance comparison of different models for the estimation of solar radiation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1097-1107.
  12. Prieto, Jesús-Ignacio & García, David, 2022. "Global solar radiation models: A critical review from the point of view of homogeneity and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
  13. Mecibah, Mohamed Salah & Boukelia, Taqiy Eddine & Tahtah, Reda & Gairaa, Kacem, 2014. "Introducing the best model for estimation the monthly mean daily global solar radiation on a horizontal surface (Case study: Algeria)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 194-202.
  14. Chika Maduabuchi & Chinedu Nsude & Chibuoke Eneh & Emmanuel Eke & Kingsley Okoli & Emmanuel Okpara & Christian Idogho & Bryan Waya & Catur Harsito, 2023. "Renewable Energy Potential Estimation Using Climatic-Weather-Forecasting Machine Learning Algorithms," Energies, MDPI, vol. 16(4), pages 1-20, February.
  15. Chen, Ji-Long & He, Lei & Yang, Hong & Ma, Maohua & Chen, Qiao & Wu, Sheng-Jun & Xiao, Zuo-lin, 2019. "Empirical models for estimating monthly global solar radiation: A most comprehensive review and comparative case study in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 91-111.
  16. Otunla, T.A., 2019. "Estimates of clear-sky solar irradiances over Nigeria," Renewable Energy, Elsevier, vol. 131(C), pages 778-787.
  17. Olatomiwa, Lanre & Mekhilef, Saad & Huda, A.S.N. & Ohunakin, Olayinka S., 2015. "Economic evaluation of hybrid energy systems for rural electrification in six geo-political zones of Nigeria," Renewable Energy, Elsevier, vol. 83(C), pages 435-446.
  18. Yao, Wanxiang & Zhang, Chunxiao & Hao, Haodong & Wang, Xiao & Li, Xianli, 2018. "A support vector machine approach to estimate global solar radiation with the influence of fog and haze," Renewable Energy, Elsevier, vol. 128(PA), pages 155-162.
  19. Zhang, Jianyuan & Zhao, Li & Deng, Shuai & Xu, Weicong & Zhang, Ying, 2017. "A critical review of the models used to estimate solar radiation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 314-329.
  20. Almorox, Javier & Bocco, Mónica & Willington, Enrique, 2013. "Estimation of daily global solar radiation from measured temperatures at Cañada de Luque, Córdoba, Argentina," Renewable Energy, Elsevier, vol. 60(C), pages 382-387.
  21. Bouchouicha, Kada & Hassan, Muhammed A. & Bailek, Nadjem & Aoun, Nouar, 2019. "Estimating the global solar irradiation and optimizing the error estimates under Algerian desert climate," Renewable Energy, Elsevier, vol. 139(C), pages 844-858.
  22. Jiandong Liu & Yanbo Shen & Guangsheng Zhou & De-Li Liu & Qiang Yu & Jun Du, 2023. "Calibrating the Ångström–Prescott Model with Solar Radiation Data Collected over Long and Short Periods of Time over the Tibetan Plateau," Energies, MDPI, vol. 16(20), pages 1-16, October.
  23. Halawa, Edward & GhaffarianHoseini, AmirHosein & Hin Wa Li, Danny, 2014. "Empirical correlations as a means for estimating monthly average daily global radiation: A critical overview," Renewable Energy, Elsevier, vol. 72(C), pages 149-153.
  24. Wang, Lunche & Gong, Wei & Li, Chen & Lin, Aiwen & Hu, Bo & Ma, Yingying, 2013. "Measurement and estimation of photosynthetically active radiation from 1961 to 2011 in Central China," Applied Energy, Elsevier, vol. 111(C), pages 1010-1017.
  25. Ohunakin, Olayinka S. & Adaramola, Muyiwa S. & Oyewola, Olanrewaju M. & Fagbenle, Richard O., 2015. "Solar radiation variability in Nigeria based on multiyear RegCM3 simulations," Renewable Energy, Elsevier, vol. 74(C), pages 195-207.
  26. Adalberto Ospino-Castro & Sharys Romero Navas & Carlos Robles-Algarín, 2024. "Methodology for Generating a Reference Wind Year for Offshore Wind Energy: A Case Study in La Guajira, Colombia," International Journal of Energy Economics and Policy, Econjournals, vol. 14(5), pages 356-364, September.
  27. Salah Abdulmohsin As-Shamari, 2024. "Using Three Thermal Amplitude Models For Estimating The Daily Global Solar Radiation As A Source Of Clean Energy From Measured Temperatures In Saudi Arabia," Earth Sciences Malaysia (ESMY), Zibeline International Publishing, vol. 8(2), pages 127-137, March.
  28. Makade, Rahul G. & Jamil, Basharat, 2018. "Statistical analysis of sunshine based global solar radiation (GSR) models for tropical wet and dry climatic Region in Nagpur, India: A case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 87(C), pages 22-43.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.