I have an mixed-integer linear optimization problem that includes a energetic difference equation for the temperature of a building for the time $t$:
$$T(t) = T(t-1) + \frac{E^{\rm Heating}(t)-E^{\rm Demand}(t)}{V\cdot \rho\cdot c}, t>1$$
I used to have the temperature in the constraints with a minimum and maximum value:
$$T_{\min}\leq T(t) \leq T_{\max}$$
Now I would like to transform it from a constraint to the objective function. So what I want is to quantify the violation of this "constrain" $Z$ and minimize it in the objective function. So the equations should actually look like this:
\begin{align}\text{if} \hspace{0,5cm}T(t) < T_{\min} &\implies Z(t) = T_{\min} - T(t)\\\text{if} \hspace{0,5cm}T(t) > T_{\max} &\implies Z(t) = T(t) - T_{\max}\end{align}
And in the objective function $\min \sum_{t} Z(t)$.
Now my question is, whether this is possible to define within a mixed-integer linear problem and if so, how can I do that?