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Wind energy potential and economic assessment of four locations in Sistan and Balouchestan province in Iran
Fazelpour F, Markarian E, Soltani N
Renewable Energy, 109, 646, 2017 |
| 52 |
Observations of offshore wind characteristics by Doppler-LiDAR for wind energy applications
Shu ZR, Li QS, He YC, Chan PW
Applied Energy, 169, 150, 2016 |
| 53 |
An innovative estimation method regarding Weibull parameters for wind energy applications
Usta I
Energy, 106, 301, 2016 |
| 54 |
Assessing different parameters estimation methods of Weibull distribution to compute wind power density
Mohammadi K, Alavi O, Mostafaeipour A, Goudarzi N, Jalilvand M
Energy Conversion and Management, 108, 322, 2016 |
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Sensitivity analysis of different wind speed distribution models with actual and truncated wind data: A case study for Kerman, Iran
Alavi O, Sedaghat A, Mostafaeipour A
Energy Conversion and Management, 120, 51, 2016 |
| 56 |
Statistical analysis of wind speed using two-parameter Weibull distribution in Alacati region
Ozay C, Celiktas MS
Energy Conversion and Management, 121, 49, 2016 |
| 57 |
Influence of noise of wind speed data on a wind-hydrogen system
Alavi O, Najafi P, Viki AH
International Journal of Hydrogen Energy, 41(48), 22751, 2016 |
| 58 |
Application of statistical modeling of image spatial structures to automated visual inspection of product quality
Liu JP, Tang ZH, Gui WH, Liu WZ, Xu PF, Zhu JY
Journal of Process Control, 44, 23, 2016 |
| 59 |
Particle Swarm Optimization method for estimation of Weibull parameters: A case study for the Brazilian northeast region
Carneiro TC, Melo SP, Carvalho PCM, Braga APD
Renewable Energy, 86, 751, 2016 |
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Wind resource assessment for urban renewable energy application in Singapore
Karthikeya BR, Negi PS, Srikanth N
Renewable Energy, 87, 403, 2016 |
