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The simple approach is to first denoise the signal and then pass the signal through the deep learning layers to obtain the result. The described model in the code will provide an accuracy of more than 85% for the noisy data and around 99% for noiseless data.
Automatic detection of faults using reinforcement learning model in Micro power grid
Steps to execute
download the repository
open the MATLAB live script (Maincode.mlx)
In code modify the line 6 to data5 to just execute the code
Play around the other dataset in the data4.zip file.
Happy coding
About
The simple approach is to first denoise the signal and then pass the signal through the deep learning layers to obtain the result. The described model in the code will provide an accuracy of more than 85% for the noisy data and around 99% for noiseless data.