Statistical Analysis of Wind Energy Potential in Uzbekistan’s Bukhara Region Using Weibull Distribution-Reference-Cited by-同舟云学术

Statistical Analysis of Wind Energy Potential in Uzbekistan’s Bukhara Region Using Weibull Distribution

Published:2019-03 Issue:2 Volume:55 Page:126-132
ISSN:0003-701X
Container-title:Applied Solar Energy
language:en
Short-container-title:Appl. Sol. Energy

Author:

Sadullayev N. N.,Safarov A. B.,Nematov Sh. N.,Mamedov R. A.

Publisher

Allerton Press

Subject

Renewable Energy, Sustainability and the Environment

Link

http://link.springer.com/content/pdf/10.3103/S0003701X19020105.pdf

Reference25 articles.

1. Eshchanov, B., Abylkasymova, A., Aminjonov, F., Maldokanov, D., Overland, I., and Vakulchuk, R., Wind power potential of the Central Asian countries, Centr. Asia Region. Rev., 2019, vol. 17, pp. 1–7.

2. Eshchanov, B., Stultjes, M., Eshchanov, R., Salaev, S., Potential of renewable energy sources in Uzbekistan, J. Knowledge Manage., Econ. Inform. Technol., 2011, vol. 1, no. 7, pp. 1–17.

3. Global Wind Energy Council. https://gwec.net/members-area-market-intelligence/statistics/.

4. Zakhidov, R.A. and Kremkov, M.V., The wind power potential of Uzbekistan, Appl. Sol. Energy, 2015, vol. 51, no. 4, pp. 336–337.

5. REVE. https://www.evwind.es/?s=wind+energy+potential+uzbekistan.

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A fuzzy based improved power sharing methodology for islanded microgrid with hybrid sources;Electric Power Systems Research;2023-04

2. Study on the possibilities of using wind energy in the northern areas of the Bukhara Region;THE 4TH TALENTA CONFERENCE ON ENGINEERING, SCIENCE AND TECHNOLOGY (CEST)-2021: Sustainable Infrastructure and Industry in the New Normal Era;2023

3. Comparative evaluation of optimal Weibull parameters for wind power predictions using numerical and metaheuristic optimization methods for different Indian terrains;Environmental Science and Pollution Research;2022-11-28

4. A comparative study of five numerical methods for the estimation of Weibull parameters for wind energy evaluation at Eastern Jerusalem, Palestine;Energy Reports;2022-11

5. Wind Speed Forecasting at Different Time Scales Using Time Series and Machine Learning Models;Applied Solar Energy;2022-10