Study on micrositing and power prediction on wind turbine at top of the container

被引：0
|
作者：
Wang, Qiang [1 ]
Wang, Jianwen [1 ,2 ]
Hou, Yali [1 ,2 ]
机构：
[1] College of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot,010051, China
[2] Key Laboratory of Wind Energy and Solar Energy of the Ministry of Education, Hohhot,010051, China
来源：
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2015年 / 36卷 / 04期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
8
引用
收藏
页码：812 / 817
相关论文
共 50 条
  • [21] Reliability Study of Wind Turbine Power Converter with Multiple Wind Speed
    Zhang, Jingxuan
    Sun, Hexu
    Lv, Dianshun
    Dong, Zhiran
    Gao, Ziang
    2019 5TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND MATERIAL APPLICATION, 2020, 440
  • [22] Wind turbine power curve prediction with consideration of rotational augmentation effects
    Tang, X.
    Huang, X.
    Sun, S.
    Peng, R.
    20TH INNOVATIVE MANUFACTURING ENGINEERING AND ENERGY CONFERENCE (IMANEE 2016), 2016, 161
  • [23] NUMERICAL DATA FOR WIND TURBINE MICROSITING INSPIRED BY HUMAN DYNASTIES BY USE OF THE DYNASTIC OPTIMIZATION ALGORITHM (DOA)
    Massan, Shafiq-ur-Rehman
    Wagan, Asim Imdad
    Shaikh, Muhammad Mujtaba
    3C TECNOLOGIA, 2020, 9 (02): : 71 - 85
  • [24] The Power of Wind Turbine Generators Prediction Model Based on Time Series
    Huang, Guanjia
    Fang, Shaomei
    Qiaojun, Situ
    ENERGY DEVELOPMENT, PTS 1-4, 2014, 860-863 : 394 - +
  • [25] Wind turbine power curve modeling for reliable power prediction using monotonic regression
    Mehrjoo, Mehrdad
    Jozani, Mohammad Jafari
    Pawlak, Miroslaw
    RENEWABLE ENERGY, 2020, 147 (147) : 214 - 222
  • [26] Study on Power Control of Doubly Fed Wind Turbine
    Yao, Xingjia
    Liu, Jun
    Xing, Zuoxia
    Jing, Yanjun
    Li, Guangbo
    2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11, 2008, : 3630 - 3635
  • [27] Analysis of wind turbine micrositing efficiency: An application of two-subprocess data envelopment analysis method
    Niu, Dongxiao
    Song, Zongyun
    Xiao, Xinli
    Wang, Yuwei
    JOURNAL OF CLEANER PRODUCTION, 2018, 170 : 193 - 204
  • [28] Wind turbine power prediction based on wind energy utilization coefficient and multivariate polynomial regression
    Niu, Wangqiang
    Huang, Jiaying
    Yang, Huajian
    Wang, Xiaotong
    JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2022, 14 (01)
  • [29] The influence of variational mode decomposition on LSTM prediction accuracy - A case study with wind turbine power signals
    Fang, Mingkun
    Zhang, Fangfang
    Zhu, Di
    Tao, Ran
    Xiao, Ruofu
    RENEWABLE ENERGY, 2025, 245
  • [30] Power prediction of a Savonius wind turbine cluster considering wind direction characteristics on three sites
    Chen, Yunrui
    Zhang, Dayu
    Qi, Wenchuang
    Guo, Penghua
    Li, Jingyin
    JOURNAL OF CLEANER PRODUCTION, 2023, 423
12345