The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of COMPUTERS
Transactions ID Number: 19-446
Full Name: Shun Jyh Wu
Position: Associate Professor
Age: ON
Sex: Male
Address: No. 499, Sec., 4, TamKing Rd.,Tamsui,Taipei 25135, Taiwan, R.O.C.
Country: TAIWAN
Tel: 886-2-28013131ext6010
Tel prefix: 886-2
Fax: 886-2-28010770
E-mail address: shundywu@gmail.com
Other E-mails: shundy@mail.sju.edu.tw
Title of the Paper: intelligent web-based fuzzy and grey models for hourly wind speed forecast
Authors as they appear in the Paper: Shun Jyh Wu, Shu Ling Lin
Email addresses of all the authors: shundywu@gmail.com,shundy@mail.sju.edu.tw,shuling@ntut.edu.tw
Number of paper pages: 8
Abstract: An intelligent fuzzy model is developed for the forecast of hourly wind speed. The hourly wind speed of three meteorological stations in Taiwan are forecasted and compared. The selected sites of Taiwan meteorological stations are Lan-Yu, Tung-Chi-Tao, and Wuci, whose wind speeds are the highest among 25 areas during the period of 1971-2000. An intelligent time series model and GM(1,1) are developed and used to forecast the randomly distributed wind speed data. Hourly records of wind speed are first used to establish intelligent fuzzy linguistic functions, and then fuzzy relational matrix is developed to form the time series relationship. Effects of interval number are studied. For the same order of the intelligent fuzzy model, the model with higher interval number provides better prediction of the hourly wind speed with lower RMSE. On the other hand, GM(1,1) gives higher RMSE for all the three site. The present results demonstrate the benefits and the robustness of!
the intelligent model.
Keywords: Fuzzy logics, Intelligent model, Wind Speed, Forecast.
EXTENSION of the file: .doc
Special (Invited) Session: Forecast of Hourly Wind Speed With Intelligent Model
Organizer of the Session: 647-351
How Did you learn about congress:
IP ADDRESS: 203.67.37.162
