I am currently creating a neural network(LSTM) for electrical demand forecasting and I want to include dummy variables to tell the model to treat weekdays differently from weekends, treat working hours differently from others, etc.
I am confused as to how and where in my model I can implement this.
Currently I have an input of a binary value (0 if weekday, 1 otherwise) which represents the day type of the target date.
This is concatenated directly to the output of the LSTM model and then fed to a Dense(60) layer and then this produces an output. However, it isn't working as well as I'd hope to differentiate the days.
Any help would be greatly appreciated.