Question: Basic Parameters about neural-disaggregator HOT 1 CLOSED

Hi @anujsinha28

The batch size refers to the training of the neural network. Essentially, it means how many training samples are fed to the network each time.
Read more about the batch size here: https://stats.stackexchange.com/questions/153531/what-is-batch-size-in-neural-network

The window size refers to the size of the part of the timeseries the network looks at, in order to make a single prediction. In other words, to predict the consumption of an appliance at the n-th timestep, it uses the [(n-w): n] samples of the mains timeseries (w is the window size). Therefore the input is of size w and the output of size 1.

The window size depends on the appliance characteristics. Devices with longer operation cycles (e.g washing machine) tend to require bigger window sizes than simpler appliances (e.g. light bulb).

from neural-disaggregator.