Demonstrating the effect of vertical and directional shear for resource mapping of wind power
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Alexander E. MacDonald | Aditya Choukulkar | Christopher T. M. Clack | Anneliese Alexander | C. Clack | A. MacDonald | A. Alexander | A. Choukulkar | Christopher T. M. Clack | Aditya Choukulkar
[1] C. L. Archer,et al. Evaluation of global wind power , 2005 .
[2] J. A. Carta,et al. A review of wind speed probability distributions used in wind energy analysis: Case studies in the Canary Islands , 2009 .
[3] J. Lundquist,et al. Atmospheric stability affects wind turbine power collection , 2011 .
[4] J. Lundquist,et al. Assessing atmospheric stability and its impacts on rotor‐disk wind characteristics at an onshore wind farm , 2010 .
[5] David W. Keith,et al. Are global wind power resource estimates overstated? , 2013 .
[6] G. Grell,et al. Mesoscale Weather Prediction with the RUC Hybrid Isentropic–Terrain-Following Coordinate Model , 2004 .
[7] Yuyu Zhou,et al. Spatial and temporal patterns of global onshore wind speed distribution , 2013 .
[8] Wim Turkenburg,et al. Assessment of the global and regional geographical, technical and economic potential of onshore wind energy , 2004 .
[9] K. Pennock,et al. Updated Eastern Interconnect Wind Power Output and Forecasts for ERGIS: July 2012 , 2012 .
[10] Barry E. Schwartz,et al. An Hourly Assimilation–Forecast Cycle: The RUC , 2004 .
[11] Bri-Mathias Hodge,et al. The Wind Integration National Dataset (WIND) Toolkit , 2015 .
[12] F. C. Kaminsky. Four probability densities /log-normal, gamma, Weibull, and Rayleigh/ and their application to modelling average hourly wind speed , 1977 .
[13] D. Weisser,et al. A wind energy analysis of Grenada: an estimation using the 'Weibull' density function , 2003 .
[14] Paul Fleming,et al. Using machine learning to predict wind turbine power output , 2013 .
[15] Ronald Calhoun,et al. A new formulation for rotor equivalent wind speed for wind resource assessment and wind power forecasting , 2016 .
[16] P. Holtberg,et al. International Energy Outlook 2016 With Projections to 2040 , 2016 .
[17] Adel Belouchrani,et al. A comparison between wind speed distributions derived from the maximum entropy principle and Weibull distribution. Case of study; six regions of Algeria , 2012 .
[18] Yuyu Zhou,et al. Evaluation of global onshore wind energy potential and generation costs. , 2012, Environmental science & technology.
[19] F. Jowder,et al. Weibull and Rayleigh Distribution Functions of Wind Speeds in Kingdom of Bahrain , 2006 .
[20] Ioannis Antoniou,et al. The influence of the wind speed profile on wind turbine performance measurements , 2009 .
[21] Debra Lew,et al. Creating the Dataset for the Western Wind and Solar Integration Study (U.S.A.) , 2008 .
[22] Mark Z. Jacobson,et al. Geographical and seasonal variability of the global “practical” wind resources , 2013 .
[23] A. Betz. Wind-energie und ihre ausnutzung durch windmühlen , 1926 .
[24] K. Tar. Some statistical characteristics of monthly average wind speed at various heights , 2008 .