A Study on Wind Speed Prediction using Artificial Neural Network at Jeju Island in Korea II

被引：0
|
作者：
Zhang, Fengming [1 ]
Cho, Kyeonghee [1 ]
Choi, Jaeseok [1 ]
Lee, Young-Mi [2 ]
Lee, Kwang Y. [3 ]
机构：
[1] Gyeongsang Natl Univ, Jinju, GN, South Korea
[2] Ecobrain, Seoul, South Korea
[3] Baylor Univ, Waco, TX 76798 USA
来源：
2011 IEEE 54TH INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS (MWSCAS) | 2011年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Wind power is one of the most successfully utilized of renewable sources to produce electrical energy. The available wind energy depends on the wind speed, which is a random variable. For the wind-farm operator, this poses difficulty in the system scheduling and energy dispatching, as the schedule of the wind-power availability is not known in advance. This paper proposes to use the two-layered artificial neural networks for predicting the actual wind speed from the previous values of the same variable.
引用
收藏
页数：4
相关论文
共 50 条
  • [1] A Study on Wind Speed Prediction using Artificial Neural Network at Jeju Island in Korea
    Wu, Liang
    Park, Jeongje
    Choi, Jaeseok
    Cha, Junmin
    Lee, Kwang Y.
    [J]. T& D ASIA: 2009 TRANSMISSION & DISTRIBUTION CONFERENCE & EXPOSITION: ASIA AND PACIFIC, 2009, : 431 - +
  • [2] Variations of wind speed in time on Jeju Island, Korea
    Ko, Kyungnam
    Kim, Kyoungbo
    Huh, Jongchul
    [J]. ENERGY, 2010, 35 (08) : 3381 - 3387
  • [3] Wind-speed prediction and analysis based on geological and distance variables using an artificial neural network: A case study in South Korea
    Koo, Junmo
    Han, Gwon Deok
    Choi, Hyung Jong
    Shim, Joon Hyung
    [J]. ENERGY, 2015, 93 : 1296 - 1302
  • [4] Prediction of Solar Wind Speed at 1 AU Using an Artificial Neural Network
    Yang, Yi
    Shen, Fang
    Yang, Zicai
    Feng, Xueshang
    [J]. SPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONS, 2018, 16 (09): : 1227 - 1244
  • [5] Wind speed prediction based on simple meteorological data using artificial neural network
    Ghanbarzadeh, A.
    Noghrehabadi, A. R.
    Behrang, M. A.
    Assareh, E.
    [J]. 2009 7TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS, VOLS 1 AND 2, 2009, : 664 - +
  • [6] Wind speed prediction in the mountainous region of India using an artificial neural network model
    Ramasamy, P.
    Chandel, S. S.
    Yadav, Amit Kumar
    [J]. RENEWABLE ENERGY, 2015, 80 : 338 - 347
  • [7] Wind Speed Prediction from Site Meteorological Data Using Artificial Neural Network
    Ahmed, Khawaja Masood
    Khan, Muhammad Arshad
    Siddiqui, Imran
    Khan, Siraj
    Shoaib, M.
    Zia, Ibrahim
    [J]. 2022 GLOBAL CONFERENCE ON WIRELESS AND OPTICAL TECHNOLOGIES (GCWOT), 2022, : 99 - 106
  • [8] Characteristics of wind variations on Jeju Island, Korea
    Ko, Kyungnam
    Kim, Kyoungbo
    Huh, Jongchul
    [J]. INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2010, 34 (01) : 36 - 45
  • [9] Application of Artificial Neural Network for Long Term Wind Speed Prediction
    Malik, Hasmat
    Savita
    [J]. 2016 CONFERENCE ON ADVANCES IN SIGNAL PROCESSING (CASP), 2016, : 217 - 222
  • [10] Improved Wind Speed Prediction Results by Artificial Neural Network Method
    Sirdas, Asilhan Sevinc
    Nilcan, Akatas
    Ercan, Izgi
    [J]. EXERGY FOR A BETTER ENVIRONMENT AND IMPROVED SUSTAINABILITY 2: APPLICATIONS, 2018, : 651 - 665
12345