Open Access
| Issue |
E3S Web of Conf.
Volume 405, 2023
2023 International Conference on Sustainable Technologies in Civil and Environmental Engineering (ICSTCE 2023)
|
|
|---|---|---|
| Article Number | 02023 | |
| Number of page(s) | 11 | |
| Section | Renewable Energy & Electrical Technology | |
| DOI | https://doi.org/10.1051/e3sconf/202340502023 | |
| Published online | 26 July 2023 | |
- Muhammad Shaheen, Muhammad Shahbaz, Khalid Afsar Khan Jadoon, “Data Mining For Wind Energy Site Selection”, Proceedings of the World Congress on Engineering and Computer Science 2012 Vol I, WCECS 2012, October 24-26, 2012, San Francisco, USA. [Google Scholar]
- Ilhami Colak, Seref Sagirogl, Mehmet Yesilbudak, Data mining and wind power prediction: A literature review, Renewable Energy 46 (2012) 241- 247. [CrossRef] [Google Scholar]
- Dan Assouline, Nahid Mohajeri, Dasaraden Mauree, Jean-Louis Scartezzini, “Machine learning and geographic information systems for large-scale wind energy potential estimation in rural areas”, Journal of Physics: Conference Series 1343 (2019) 012036. [CrossRef] [Google Scholar]
- Erlich, F. Shewarega, Interaction of large wind power generation plants with the power system, First International Power and Energy Conference, (PECon 2006) Proceedings, 12-18, 2006. [Google Scholar]
- Islam, M.T.; Shahir, S.A.; Uddin, T.I.; Saifullah, A.Z.A. Current energy scenario and future prospect of renewable energy in Bangladesh. Renew. Sustain. Energy Rev. 2014, 39, 1074–1088. [CrossRef] [Google Scholar]
- https://www.mei.edu/publications/renewable-power-policies-arab-gulf-states [Google Scholar]
- https://www.arabnews.com/node/2062011 [Google Scholar]
- IRENA (2019), Renewable Energy Market Analysis: GCC 2019, IRENA, Abu Dhabi. [Google Scholar]
- Al-Yahyai, S. and Charabi, Y. (2015), “Assessment of large-scale wind energy potential in the emerging city of Duqm (Oman)”, Renewable and Sustainable Energy Reviews, Vol. 47, pp. 438-447 [CrossRef] [Google Scholar]
- https://globalwindatlas.info/en [Google Scholar]
- https://www.irena.org/Energy-Transition/Technology/Wind-energy. [Google Scholar]
- https://www.accuweather.com/en/om/national/wind-flow [Google Scholar]
- https://power.larc.nasa.gov/data-access-viewer/ [Google Scholar]
- https://weka.sourceforge.io/doc.dev/weka/filters/supervised/instance/ClassBalancer.html [Google Scholar]
- Jiawei Han, Micheline Kamber and Jian Pei, Data Mining: Concepts and Techniques, 3rd ed., July 2011. ISBN 978-0123814791 [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.