First And Second Order Markov Chain Models For Synthetic Generation Of Wind Speed Time Series.

A, Shamshad and W M A, Wan Hussin and M. A., Bawadi and S. A., Mohd. Sanusi First And Second Order Markov Chain Models For Synthetic Generation Of Wind Speed Time Series. Working Paper. Universiti Sains Malaysia.

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    Abstract

    Hourly wind speed time series data of two meteorological stations in Malaysia have been used for stochastic generation of wind speed data using transition matrix approach of the Markov chain process. The transition probability matrices have been formed using two different approaches; the first approach involves the use of the first order transition probability matrix of a Markov chain, and the second involves the use of a second order transition probability matrix that uses the current and preceding values to describe probabilistically the next wind s peed value.

    Item Type: Monograph (Working Paper)
    Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1-2040 Engineering (General). Civil engineering (General)
    Divisions: Kampus Kejuruteraan (Engineering Campus) > Pusat Pengajian Kejuruteraan Awam (School of Civil Engineering)
    Depositing User: Mr Erwan Roslan
    Date Deposited: 22 Jul 2009 11:40
    Last Modified: 13 Jul 2013 12:40
    URI: http://eprints.usm.my/id/eprint/11364

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