Hey Fatemah,
As mentioned in the link provided, “errorbar()” function would be the best bet for your use case. For the error bounds calculation based on your graph, there are multiple methods you can follow:
- Standard Deviation: Useful when you want to show the spread of your data.
- Standard Error: Useful for showing how precisely you know the mean of your data.
- Confidence Intervals: Useful for providing a range for parameter estimates.
- Percentiles: Useful for non-parametric data or skewed distributions.
Since you are plotting average kW values over time and assuming you have multiple measurements for each time point (such as multiple days of data for each minute/hour), using either the Standard Error or Confidence Intervals would be appropriate.
You can calculate these error bounds using MATLAB functions like “mean ”, “std”, and “sqrt”. Here’s how you can do it:
>> % Assuming your data is of the shape num_of_measurements x time
>> meanSystem = mean(your_Data);
>> seSystem = std(your_Data) / sqrt(num_of_measurements);
>> errorbar(time, meanSystem, seSystem, 'b', 'LineWidth', 1.5);
I have attached below the links to documentation for the functions for better adapting the code for your usecase.
“mean()”:
“std()”:
“sqrt()”:
“errorbar() ” :
