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A review of Weibull functions in wind sector

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  1. Huo, Xujie & Yang, Liu & Li, Danny H.W., 2024. "Determining Weibull distribution patterns for wind conditions in building energy-efficient design across the different thermal design zones in China," Energy, Elsevier, vol. 304(C).
  2. Arıkan Yildiz, Yağmur & Güçyetmez, Mehmet & Aktemur, Cenker, 2025. "3E analysis of a wind-solar-biomass energy generation in context of regional multi-microgrids: A case study of Sivas, Türkiye," Renewable Energy, Elsevier, vol. 246(C).
  3. Manisha Sawant & Sameer Thakare & A. Prabhakara Rao & Andrés E. Feijóo-Lorenzo & Neeraj Dhanraj Bokde, 2021. "A Review on State-of-the-Art Reviews in Wind-Turbine- and Wind-Farm-Related Topics," Energies, MDPI, vol. 14(8), pages 1-30, April.
  4. Thomas T. D. Tran & Amanda D. Smith, 2019. "Stochastic Optimization for Integration of Renewable Energy Technologies in District Energy Systems for Cost-Effective Use," Energies, MDPI, vol. 12(3), pages 1-26, February.
  5. Ciupăgeanu, Dana-Alexandra & Lăzăroiu, Gheorghe & Barelli, Linda, 2019. "Wind energy integration: Variability analysis and power system impact assessment," Energy, Elsevier, vol. 185(C), pages 1183-1196.
  6. Deng, Li-Rong & Ding, Zhi-Li & Fu, Yang, 2025. "From macro to micro: A multi-scale method for assessing coastal wind energy potential in China," Applied Energy, Elsevier, vol. 389(C).
  7. Dong, Zuo & Wang, Xianjia & Zhu, Runzhou & Dong, Xuan & Ai, Xueshan, 2022. "Improving the accuracy of wind speed statistical analysis and wind energy utilization in the Ningxia Autonomous Region, China," Applied Energy, Elsevier, vol. 320(C).
  8. Kam, Olle Michel & Noël, Stéphane & Ramenah, Harry & Kasser, Pierre & Tanougast, Camel, 2021. "Comparative Weibull distribution methods for reliable global solar irradiance assessment in France areas," Renewable Energy, Elsevier, vol. 165(P1), pages 194-210.
  9. Guo, Peng & Chen, Si & Chu, Jingchun & Infield, David, 2020. "Wind direction fluctuation analysis for wind turbines," Renewable Energy, Elsevier, vol. 162(C), pages 1026-1035.
  10. César Henrique Mattos Pires & Felipe M. Pimenta & Carla A. D'Aquino & Osvaldo R. Saavedra & Xuerui Mao & Arcilan T. Assireu, 2020. "Coastal Wind Power in Southern Santa Catarina, Brazil," Energies, MDPI, vol. 13(19), pages 1-23, October.
  11. Liu, Fa & Sun, Fubao & Wang, Xunming, 2023. "Impact of turbine technology on wind energy potential and CO2 emission reduction under different wind resource conditions in China," Applied Energy, Elsevier, vol. 348(C).
  12. Matthew Gough & Mohamed Lotfi & Rui Castro & Amos Madhlopa & Azeem Khan & João P. S. Catalão, 2019. "Urban Wind Resource Assessment: A Case Study on Cape Town," Energies, MDPI, vol. 12(8), pages 1-20, April.
  13. Ayik, A. & Ijumba, N. & Kabiri, C. & Goffin, P., 2021. "Preliminary wind resource assessment in South Sudan using reanalysis data and statistical methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
  14. Jung, Christopher & Schindler, Dirk, 2019. "Wind speed distribution selection – A review of recent development and progress," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
  15. Ju-Young Shin & Changsam Jeong & Jun-Haeng Heo, 2018. "A Novel Statistical Method to Temporally Downscale Wind Speed Weibull Distribution Using Scaling Property," Energies, MDPI, vol. 11(3), pages 1-27, March.
  16. Kim, Gyeongmin & Hur, Jin, 2021. "Probabilistic modeling of wind energy potential for power grid expansion planning," Energy, Elsevier, vol. 230(C).
  17. Herrero-Novoa, Cristina & Pérez, Isidro A. & Sánchez, M. Luisa & García, Ma Ángeles & Pardo, Nuria & Fernández-Duque, Beatriz, 2017. "Wind speed description and power density in northern Spain," Energy, Elsevier, vol. 138(C), pages 967-976.
  18. Mousavi, Yashar & Bevan, Geraint & Kucukdemiral, Ibrahim Beklan & Fekih, Afef, 2022. "Sliding mode control of wind energy conversion systems: Trends and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
  19. Collados-Lara, Antonio-Juan & Baena-Ruiz, Leticia & Pulido-Velazquez, David & Pardo-Igúzquiza, Eulogio, 2022. "Data-driven mapping of hourly wind speed and its potential energy resources: A sensitivity analysis," Renewable Energy, Elsevier, vol. 199(C), pages 87-102.
  20. Waldemar Kuczyński & Katarzyna Wolniewicz & Henryk Charun, 2021. "Analysis of the Wind Turbine Selection for the Given Wind Conditions," Energies, MDPI, vol. 14(22), pages 1-16, November.
  21. Katinas, Vladislovas & Gecevicius, Giedrius & Marciukaitis, Mantas, 2018. "An investigation of wind power density distribution at location with low and high wind speeds using statistical model," Applied Energy, Elsevier, vol. 218(C), pages 442-451.
  22. He, J.Y. & Chan, P.W. & Li, Q.S. & Lee, C.W., 2022. "Characterizing coastal wind energy resources based on sodar and microwave radiometer observations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
  23. Acitas, Sukru & Aladag, Cagdas Hakan & Senoglu, Birdal, 2019. "A new approach for estimating the parameters of Weibull distribution via particle swarm optimization: An application to the strengths of glass fibre data," Reliability Engineering and System Safety, Elsevier, vol. 183(C), pages 116-127.
  24. Katarzyna Wolniewicz & Adam Zagubień & Mirosław Wesołowski, 2021. "Energy and Acoustic Environmental Effective Approach for a Wind Farm Location," Energies, MDPI, vol. 14(21), pages 1-17, November.
  25. Ramezani, Mahyar & Choe, Do-Eun & Heydarpour, Khashayar & Koo, Bonjun, 2023. "Uncertainty models for the structural design of floating offshore wind turbines: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
  26. Zheng, Hanbo & Huang, Wufeng & Zhao, Junhui & Liu, Jiefeng & Zhang, Yiyi & Shi, Zhen & Zhang, Chaohai, 2022. "A novel falling model for wind speed probability distribution of wind farms," Renewable Energy, Elsevier, vol. 184(C), pages 91-99.
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