In the MATLAB Curve Fitter app, you select the predictor variable for the x-axis and the response variable for the y-axis. For the wind turbine example, wind speed is selected as the independent variable (predictor) on the x-axis, and power output is selected as the dependent variable (response) on the y-axis.
Conditions: The data are available in MATLAB.; The user wants to visualize and fit a relationship between two specific variables.
In the MATLAB Curve Fitter app, you select the predictor variable for the x-axis and the response variable for the y-axis. For the wind turbine example, wind speed is selected as the independent variable (predictor) on the x-axis, and power output is selected as the dependent variable (response) on the y-axis.
Conditions: The data are available in MATLAB.; The user wants to visualize and fit a relationship between two specific variables.
A sigmoidal curve is chosen because the physical mechanism of a wind turbine dictates that power output does not increase linearly with wind speed. A minimum wind speed is required to start the blades rotating, and at higher speeds, the generator reaches its maximum electrical output.
Conditions: The relationship between wind speed and power output is being modeled.; The physical constraints of the wind turbine (minimum cut-in speed and maximum rated power) are considered.
A sigmoidal curve is chosen because the physical mechanism of a wind turbine dictates that power output does not increase linearly with wind speed. A minimum wind speed is required to start the blades rotating, and at higher speeds, the generator reaches its maximum electrical output.
Conditions: The relationship between wind speed and power output is being modeled.; The physical constraints of the wind turbine (minimum cut-in speed and maximum rated power) are considered.