Research Article
Wind Speed Estimation: Incorporating Seasonal Data Using Markov Chain Models
Table 2
General statistical parameters in m/s for generated wind speed time series (Colorado, US, 20ām).
| ā | Synthetic data (m/s) | Winter | Spring | Summer | Autumn |
| Mean | 6.24 | 3.77 | 3.81 (3.74) | 3.86 (4.03) | St. deviation | 4.63 | 3.22 | 1.85 (1.77) | 2.75 (2.96) | Variance | 21.44 | 10.36 | 3.41 (3.13) | 7.59 (8.79) | Coef. of variation | 74.21 | 85.34 | 48.46 (47.30) | 71.35 (73.49) | Minimum | 0.25 | 0.25 | 0.75 (0.51) | 0.50 (0.50) | First quartile | 2.69 | 1.81 | 2.43 (2.53) | 2.06 (2.11) | Median | 5.07 | 2.90 | 3.34 (3.25) | 3.02 (3.20) | Third quartile | 8.67 | 4.57 | 4.81 (4.64) | 4.89 (4.90) | Maximum | 27.47 | 23.95 | 10.97 (10.99) | 19.76 (19.70) | Weibull shape Parameter (ML) | 1.418 | 1.336 | 2.203 (2.245) | 1.532 (1.499) | Weibull shape Parameter (WAsP) | 1.336 | 0.972 | 1.743 (1.699) | 1.180 (1.077) | Weibull scale Parameter (ML) | 6.888 | 4.142 | 4.318 (4.240) | 4.319 (4.504) | Weibull scale Parameter (WAsP) | 6.757 | 3.359 | 3.996 (3.863) | 3.731 (3.629) |
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Note: values in parenthesis are the simulation results for 2nd order MC.
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