Open Access
Issue |
E3S Web Conf.
Volume 260, 2021
2021 International Conference on Advanced Energy, Power and Electrical Engineering (AEPEE2021)
|
|
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Article Number | 03008 | |
Number of page(s) | 6 | |
Section | Electrical Engineering and Automation | |
DOI | https://doi.org/10.1051/e3sconf/202126003008 | |
Published online | 19 May 2021 |
- S. Dierer, R. Oechslin, and R. Cattin. Wind turbines in icing conditions: performance and prediction. Adv. Sci. Res., 6, 245–250, (2011) [Google Scholar]
- Xu Xiaomin, Niu Dongxiao, Wang Peng, et al., The weighted Support Vector Machine based on hybrid swarm intelligence optimization for icing prediction of transmission line. Math. Probl. Eng., 2015, 1–9, (2015) [Google Scholar]
- Davis, N., Hahmann, A. N., Clausen, N.-E., et al., Forecast of icing events at a wind farm in Sweden. J. Appl. Meteorol. Climatol., 53(2), 262–281 (2014) [Google Scholar]
- Shu Lichun, Li Hantao, Hu Qi, et al., Effects of ice degree of blades on power losses of wind turbines at natural environments. Proceedings of the CSEE, 38(18), 5599–5605 (2018) [Google Scholar]
- Li Jingrui, Teng Yun, Hui Qian, et al., Wind turbine output prediction model considering numerical weather forecast, High Volt. Eng., 44(2), 61–65 (2018) [Google Scholar]
- Kosovic B., Haupt S.E., Adriaansen D., et al., A comprehensive wind power forecasting system integrating artificial intelligence and numerical weather prediction, Energies, 13(6), 1372, (2020) [Google Scholar]
- Rustem Manatbayev, Zhandos Baizhuma, Saltanat Bolegenova, et al., Numerical simulations on static Vertical Axis Wind Turbine blade icing, Renew. Energ., 170, 997–1007, (2021) [Google Scholar]
- Gao Wende, and Zhao Chang, The shape and terminal velocity of the falling raindrops, Phy. & Eng., 29(6), 65–70 (2019) [Google Scholar]
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