| 1 |
Estimating wind speed probability distribution based on measured data at Burla in Odisha, India
Samal RK, Tripathy M
Energy Sources Part A-recovery Utilization and Environmental Effects, 41(8), 918, 2019 |
| 2 |
A new finite mixture distribution and its expectation-maximization procedure for extreme wind speed characterization
Bracale A, Carpinelli G, De Falco P
Renewable Energy, 113, 1366, 2017 |
| 3 |
Effects of intake flow and coolant temperature on the spatial fuel distribution in a direct-injection gasoline engine by PLIF technique
Kim S, Yan Y, Nouri JM, Arcoumanis C
Fuel, 106, 737, 2013 |
| 4 |
Use of two-component Weibull mixtures in the analysis of wind speed in the Eastern Mediterranean
Akdag SA, Bagiorgas HS, Mihalakakou G
Applied Energy, 87(8), 2566, 2010 |
| 5 |
Estimation of wind energy potential using finite mixture distribution models
Akpinar S, Akpinar EK
Energy Conversion and Management, 50(4), 877, 2009 |
| 6 |
Statistical modelling of directional wind speeds using mixtures of von Mises distributions: Case study
Carta JA, Bueno C, Ramirez P
Energy Conversion and Management, 49(5), 897, 2008 |
| 7 |
Influence of the fitted probability distribution type on the annual mean power generated by wind turbines: A case study at the Canary Islands
Vicente RT
Energy Conversion and Management, 49(8), 2047, 2008 |
| 8 |
Use of finite mixture distribution models in the analysis of wind energy in the Canarian Archipelago
Carta JA, Ramirez P
Energy Conversion and Management, 48(1), 281, 2007 |
