| 81 |
Continuous wind speed models based on stochastic differential equations
Zarate-Minano R, Anghel M, Milano F
Applied Energy, 104, 42, 2013 |
| 82 |
A new low-correlation MCP (measure-correlate-predict) method for wind energy forecasting
Dinler A
Energy, 63, 152, 2013 |
| 83 |
Appraising the viability of wind energy conversion system in the Peninsular Malaysia
Akorede MF, Rashid MIM, Sulaiman MH, Mohamed NB, Ab Ghani SB
Energy Conversion and Management, 76, 801, 2013 |
| 84 |
Digital bread crumb: Creation and application
Wang S, Karrech A, Regenauer-Lieb K, Chakrabati-Bell S
Journal of Food Engineering, 116(4), 852, 2013 |
| 85 |
Contribution to improving the modeling of wind and evaluation of the wind potential of the site of Lome: Problems of taking into account the frequency of calm winds
Salami AA, Ajavon ASA, Kodjo MK, Bedja KS
Renewable Energy, 50, 449, 2013 |
| 86 |
Monte Carlo analysis of wind farm surge arresters risk of failure due to lightning surges
Sarajcev P, Vasilj J, Goic R
Renewable Energy, 57, 626, 2013 |
| 87 |
Analysis of some flexible families of distributions for estimation of wind speed distributions
Usta I, Kantar YM
Applied Energy, 89(1), 355, 2012 |
| 88 |
Comparison of seven numerical methods for determining Weibull parameters for wind energy generation in the northeast region of Brazil
Rocha PAC, de Sousa RC, de Andrade CF, da Silva MEV
Applied Energy, 89(1), 395, 2012 |
| 89 |
Theoretical derivation of wind power probability distribution function and applications
Altunkaynak A, Erdik T, Dabanli I, Sen Z
Applied Energy, 92, 809, 2012 |
| 90 |
Wind resource estimation and wind park design in El-Kef region, Tunisia
Abbes M, Belhadj J
Energy, 40(1), 348, 2012 |
