Research Article
Wind Speed Estimation: Incorporating Seasonal Data Using Markov Chain Models
Table 4
General statistical parameters in m/s for generated wind speed time series (Yalova, TR, 30ām).
| ā | Synthetic data (m/s) | Winter | Spring | Summer |
| Mean | 6.23 | 5.50 | 5.32 (5.57) | St. deviation | 3.85 | 3.00 | 2.81 (2.99) | Variance | 14.83 | 9.03 | 7.91 (8.97) | Coef. of variation | 61.80 | 54.65 | 52.91 (53.76) | Minimum | 0 | 0 | 0 (0.004) | First quartile | 3.51 | 3.26 | 3.09 (3.17) | Median | 6.01 | 5.27 | 5.16 (5.21) | Third quartile | 8.50 | 7.26 | 7.38 (7.83) | Maximum | 23.37 | 17.99 | 16.54 (15.89) | Weibull shape Parameter (ML) | 1.474 | 1.784 | 1.919 (1.923) | Weibull shape Parameter (WAsP) | 1.874 | 1.955 | 2.176 (1.939) | Weibull scale Parameter (ML) | 6.790 | 6.117 | 5.965 (6.271) | Weibull scale Parameter (WAsP) | 7.316 | 6.233 | 6.148 (6.249) |
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Note: values in parenthesis are the simulation results for 2nd order MC.
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