Can I use two inputs to deep learning (LSTM)

Dear all,

Is it possible to give two time series (X1 and X2) to LSTM and get one output Y1 (Y1 is forecasted future values of X1).

For example, if X1 and X2 are time serieses X1[1:100] and X2[1:100],

then Y1=X1[100:150] (future 50 values).

Best Regards

[Vengatesan]

I am interested in a similar questions as well. If the inputs are from two different time series, e.g.

series 1:

time1 x1

time2 x2

..

timen xn

and series 2:

time 1 y1

time 2 y2

...

timen yn,

how to we input them in deep learning to forecast one of the series as output.

Thanks

VV