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Curve fitting is a technique used to fit mathematical models to your data, helping you understand the relationship between different factors within your data set. Learn how to apply various curve fitting techniques using MATLAB® to wind turbine analysis with the aim of understanding how various factors influence power output. With MATLAB, you can: Interactively fit curves and surfaces to your data using the Curve Fitter app: https://bit.ly/3xFxIVe Explore higher dimensional models through linear and nonlinear regression methods from Statistics and Machine Learning Toolbox™: https://bit.ly/441Cok0 Optimize fitted models by specifying bounds and constraints with the functionality from Optimization Toolbox™: https://bit.ly/3Jh6s1w Incorporate your curve fits from the Curve Fitter app as a lookup table for use in Simulink®: https://bit.ly/3TX90XJ Related videos: Curve Fitting Toolbox Product Overview: • What Is Curve Fitting Toolbox? Low-Code Data Analysis with MATLAB: https://bit.ly/3vYWgI0 How to Fit a Linear Regression Model in MATLAB: • How to Fit a Linear Regression Model ... Chapters: 00:23 – What is Curve Fitting? 01:32 – Overview of different fitting techniques covered in this video 02:03 – Example: Wind turbine analysis 02:55 – Curve Fitting using the Curve Fitter App 04:21 – Non-linear regression model to capture effects of various factors 05:18 – Optimizing fitted model coefficients 07:06 – Incorporating curve fit into Simulink 08:05 – Conclusion -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2024 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.