Simulating Wind Speed Data by Stochastic Markov Chain Model

摘要

In the present study the hourly wind speed data at two meteorological stations in Malaysia have been simulated by using probability transition matrices of Markov chain models. Depending upon the wind speed time series, the wind states have been selected to capture the shape of the probability density function. The manners in which Markov models can be used to generate wind speed time series are described. The models have been used to generate hourly synthetic wind speed time series. The generated time series have been examined to determine their ability to preserve the properties of the observed wind speed time series. A satisfactory accordance has been noted between the observed and the generated wind speed time series data.