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Both methods of mix integer linear programming (MILP) control of the heat pumps lead to a much improved, almost flat electricity consumption profile.
In this paper, this method and mix integer linear programming (MILP), are used to synthesize the water network for batch processes.
The proposed control scheme is modelled as a mix integer linear programming (MILP) problem, and rolling horizon optimization (RHO) is applied to alleviate initial prediction uncertainties.
After a review of related work in section "Related work", a more detailed problem formulation which leads to an algorithm called global mix integer linear programming (MILP) control is given in section "Problem statement and global MILP control".
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The main advantage of this assumption is that area calculations are linearized, therefore, the model could be solved as a Mixed Integer Linear (MILP) problem.
Mixed Integer Linear Optimisation.
Mixed Integer Linear Programming.
A Mixed Integer Linear Program (MILP) model is proposed.
A Mixed Integer Linear Programming (MILP) formulation is developed.
The problem is often formulated as a Mixed Integer Linear Programming (MILP) problem.
First, the deterministic problem is formulated as a Mixed Integer Linear Program (MILP).
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