| 1 |
Use of finite mixture models with skew-t-normal Birnbaum- Saunders components in the analysis of wind speed: Case studies in Ontario, Canada
Mahbudi S, Jamalizadeh A, Farnoosh R
Renewable Energy, 162, 196, 2020 |
| 2 |
On the mixture of wind speed distribution in a Nordic region
Ouarda TBMJ, Charron C
Energy Conversion and Management, 174, 33, 2018 |
| 3 |
Alternative Moment Method for wind energy potential and turbine energy output estimation
Akdag SA, Guler O
Renewable Energy, 120, 69, 2018 |
| 4 |
Wind speed analysis using the Extended Generalized Lindley Distribution
Kantar YM, Usta I, Arik I, Yenilmez I
Renewable Energy, 118, 1024, 2018 |
| 5 |
Use of Birnbaum-Saunders distribution for estimating wind speed and wind power probability distributions: A review
Mohammadi K, Alavi O, McGowan JG
Energy Conversion and Management, 143, 109, 2017 |
| 6 |
A novel energy pattern factor method for wind speed distribution parameter estimation
Akdag SA, Guler O
Energy Conversion and Management, 106, 1124, 2015 |
| 7 |
Probability distributions of wind speed in the UAE
Ouarda TBMJ, Charron C, Shin JY, Marpu PR, Al-Mandoos AH, Al-Tamimi MH, Ghedira H, Al Hosary TN
Energy Conversion and Management, 93, 414, 2015 |
| 8 |
An appraisal of wind speed distribution prediction by soft computing methodologies: A comparative study
Petkovic D, Shamshirband S, Anuar NB, Saboohi H, Wahab AWA, Protic M, Zalnezhad E, Mirhashemi SMA
Energy Conversion and Management, 84, 133, 2014 |
| 9 |
Generalized feed-forward based method for wind energy prediction
Celik AN, Kolhe M
Applied Energy, 101, 582, 2013 |
| 10 |
Use of multi-parameter distributions for offshore wind speed modeling: The Johnson S-B distribution
Soukissian T
Applied Energy, 111, 982, 2013 |
