How to use LSTM to make prediction with both feature from the past and the current ones?
Have a look at this question. There is a nice discussion about how to implement this. The idea in to create a separated Input to your model and concatenate it AFTER the recurrent layer(s). Also in the Keras documentation, there is an example on how to build such models with a few lines of code.