Wind Speed using Improved Mixture Weibull Distribution
D. Indhumathy1, C.V. Seshaiah2, B.Vennila3
1D.Indhumathy*, Assistant Professor, Department of Mathematics, Sri Ramakrishna Engineering college, Coimbatore, India.
2C.V. Seshaiah, Professor Department of Basic Science & Humanities, GMR Institute of Technology, Srikakulam, India.
3B. Vennila , Assistant Professor ,Department of Mathematics, Avinashilingam Institute for Home Science and higher education for women, Coimbatore, India.
Manuscript received on July 20, 2019. | Revised Manuscript received on August 10, 2019. | Manuscript published on August 30, 2019. | PP: 1871-1874 | Volume-8 Issue-6, August 2019. | Retrieval Number: F7896088619/2019©BEIESP | DOI: 10.35940/ijeat.F7896.088619
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Wind is random in nature both in space and in time. Several technologies are used in wind resource assessment (WRA).The appropriate probability distribution used to calculate the available wind speed at that particular location and the estimation of parameters is the essential part in installing wind farms. The improved mixture Weibull distribution is proposed model which is the mixture of two and three parameter Weibull distribution with parameters including scale, shape, location and weight component. The basic properties of the proposed model and estimation of parameters using various methods are discussed.
Keywords: Improved Mixture Weibull Distribution, Maximum likelihood method, Parameter Estimation, Wind speed.