The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON MATHEMATICS
Transactions ID Number: 31-705
Full Name: Azami Zaharim
Position: Associate Professor
Age: ON
Sex: Male
Address: SERI, UKM,43600 Bangi
Country: MALAYSIA
Tel: 603-89216843
Tel prefix: 603-89216681
Fax: 603-89216960
E-mail address: azami@vlsi.eng.ukm.my
Other E-mails: azaminelli@gmail.com
Title of the Paper: The Suitability Of Statistical Distribution In Fitting Wind Speed Data
Authors as they appear in the Paper: AZAMI ZAHARIM, SITI KHADIJAH NAJID, AHMAD MAHIR RAZALI AND KAMARUZZAMAN SOPIAN
Email addresses of all the authors: azaminelli@gmail.com, khadijahnajid@gmail.com, mahir@ukm.my,ksopian@vlsi.eng.ukm.my
Number of paper pages: 11
Abstract: Wind energy has been used for navigation and agriculture. Recently, wind energy is given a lot of attention because of the focus on renewable energy. Wind energy growth in Asia is currently on the rise. Both India and China are leading with more installed capacity and manufacturing facilities. In Malaysia, wind energy conversion is also given a serious consideration. The potential for wind energy generation in Malaysia depends on the availability of the wind resource that varies with specific location. This paper deals with how to model or how to fit several probability distribution models to Malaysia wind speed data available. As usually described in the literature concerning efforts to develop an adequate statistical model for wind speed, there are a few statistical models discussed such as Weibull Distribution and Rayleigh Distribution. In the literature, it is a common procedure to compare these functions to determine which one fits the measured distribution be!
st. The result from a simple descriptive statistics shows that Weibull distribution might be the probability distribution that can fit the data well.
Keywords: Wind speed, wind speed distribution, Weibull
EXTENSION of the file: .doc
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