As a short example suppose we have a kind of pollution sensor and a jet fan in a tunnel.
Jet fan turn on/off according to the automatic scenario based on pollution sensor value.
Pollution itself is based on some parameters like number of cars in the tunnel, direction of wind,speed of wind etc.
And number of cars can be predicted according to date and time (month,day,hour,...) and some other parameters.
I want to generate an online simulation of this system, so that for the current state of the system can “predict” value of pollution sensor in the short-term furture (ex 1 hour).
What is the best neural network architecture for this and what will be good input features?
What I thought about input features is
Sensed value in the previous time period
Actuator status :
X3:jetfan status (on/off)
date and time :
X4:season X5:month X6:day in week