Research Article
Wind Speed Estimation: Incorporating Seasonal Data Using Markov Chain Models
Table 1
General statistical parameters in m/s for observed wind speed time series (Colorado, US, 20ām).
| ā | Actual data (m/s) | Winter | Spring | Summer | Autumn |
| Mean | 6.36 | 4.28 | 3.58 | 4.11 | St. deviation | 4.60 | 3.23 | 1.74 | 3.01 | Variance | 21.13 | 10.41 | 3.02 | 9.07 | Coef. of variation | 72.29 | 75.44 | 48.60 | 73.23 | Minimum | 0.31 | 0.31 | 0.56 | 0.48 | First quartile | 2.84 | 2.25 | 2.35 | 2.09 | Median | 5.25 | 3.33 | 3.17 | 3.09 | Third quartile | 8.79 | 5.21 | 4.46 | 5.11 | Maximum | 27.15 | 23.86 | 11.49 | 20.12 | Weibull shape Parameter (ML) | 1.437 | 1.493 | 2.188 | 1.507 | Weibull shape Parameter (WAsP) | 1.371 | 1.074 | 1.769 | 1.114 | Weibull scale Parameter (ML) | 7.021 | 4.785 | 4.053 | 4.600 | Weibull scale Parameter (WAsP) | 6.900 | 3.936 | 3.790 | 3.806 |
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