Hi Aakanksh,
you can use the following code for reference to build you dataset
% Define time interval and duration
timeInterval = seconds(1); % Time resolution of 1 second
duration = hours(1); % Duration of 1 hour
% Generate time stamps
timeStamps = (datetime('now'):timeInterval:(datetime('now')+duration))';
% Preallocate arrays for data
numSamples = numel(timeStamps);
loadResistance = zeros(numSamples, 1);
inductiveResistance = zeros(numSamples, 1);
capacitiveResistance = zeros(numSamples, 1);
powerFactor = zeros(numSamples, 1);
% Generate random or simulated values for each time stamp
for i = 1:numSamples
% Generate random values for load resistance, inductive resistance, capacitive resistance, and power factor
loadResistance(i) = rand(); % Modify with appropriate range or distribution
inductiveResistance(i) = rand(); % Modify with appropriate range or distribution
capacitiveResistance(i) = rand(); % Modify with appropriate range or distribution
powerFactor(i) = rand(); % Modify with appropriate range or distribution
end
% Create a table to store the data
data = table(timeStamps, loadResistance, inductiveResistance, capacitiveResistance, powerFactor);
% Save the data to a CSV file
writetable(data, 'time_series_dataset.csv');
You can refer to the following documentation for more info:
