Critical analysis of methods for mathematical modelling of wind turbines

By Vinay Thapar, G. Agnihotri, V. K. Sethi. 2011

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Wind turbine power curve modeling using maximum likelihood estimation method (2019, methodology): “The power curve of a wind turbine can be estimated using the power coefficient (Cp) from the turbine blade parameters such as tip speed ratio and pitch angle, rotor dimensions and reference air density [1,3].”
Designing standalone hybrid energy systems minimizing initial investment, life cycle cost and pollutant emission (2013, background): “[30] show that a mathematical model based on the actual power curve of a wind turbine provides a much more accurate result compared to other techniques.”
Electric vehicle charging in China's power system: Energy, economic and environmental trade-offs and policy implications (2016, methodology): “Further processing for wind speed data is done, including spline interpolations to adjust to hourly wind speed data, and converting wind speed to wind power based on wind turbine model E-33 [54].”
Review of power curve modelling for wind turbines (2013, methodology): “Another way to approximate the power curve is presented in [2], where power curves are approximated by means of fitting techniques, like least squares or cubic spline interpolation.”
Modeling wind-turbine power curve: A data partitioning and mining approach (2017, unknown): “The models presented in the literature are usually parametric or non-parametric [3].”