Plug-in hybrid electric vehicles (PHEV) are expected to become widespread in the near
future. However, high penetration of PHEVs can overload the distribution system. In smart …

A dynamic real-time optimization (DRTO) formulation with closed-loop prediction is used to
coordinate distributed model predictive controllers (MPCs) by rigorously predicting the …

This paper deals with the efficient computation of solutions of robust nonlinear model
predictive control problems that are formulated using multi-stage stochastic programming via …

Optimal scheduling of the copper smelting process is of great concern in the process
industry due to the contradictory objectives of the process units and the presence of inter …

We address the distributed hierarchical optimization of industrial production complexes
where the individual plants exchange resources via networks. Due to the site-wide …

Optimal scheduling of copper smelting process is an ongoing challenge due to conflicting
objectives of the various process units and the inter-dependencies that exist among these …

In an increasingly digitized, integrated, and connected production environment, the
coordination of complex coupled systems of systems is essential to ensure a resource …

Rigorous scheduling that uses hard heuristics and allows forceful shutdown of process units,
whether intentionally or unintentionally, in the copper smelting process always harms the …

This contribution presents the modeling and optimization of the operation of production
plants that are coupled via distribution networks and applies it to a part of the petrochemical …

The efficient real-time plant-wide coordination of petrochemical production sites is a
challenging and yet not fully resolved problem and its solution can substantially improve the …