I've successfully trained and tested my time series forecasting model using neural networks. But now, I would like to use this model to predict some data points ahead. However, to predict for example t+3 my model requires the t+1 predicted point. Could you please help me on this topic?
I think the windowing can't solve my problem. My time series dataset ended at the last week of December, and I wanted to forecast the next 13 weeks. I guess the windowing process allows to only predict the next unknown value. AmI right? For example, II would like to forecast the 13th week using the 12th, 11th ... weeks. Do I have to use some kind of loop to forecast ahead?