Hierarchical economic model predictive control approach for a building energy management system with scenario-driven EV charging
To handle the increasing number of electric vehicles (EVs) and their effect on the
infrastructure, intelligent and coordinated charge management is necessary. In this paper …
infrastructure, intelligent and coordinated charge management is necessary. In this paper …
Incorporating human preferences in decision making for dynamic multi-objective optimization in Model Predictive Control
We present a new two-step approach for automatized a posteriori decision making in multi-
objective optimization problems, ie, selecting a solution from the Pareto front. In the first step …
objective optimization problems, ie, selecting a solution from the Pareto front. In the first step …
The cost of photovoltaic forecasting errors in microgrid control with peak pricing
Model predictive control (MPC) is widely used for microgrids or unit commitment due to its
ability to respect the forecasts of loads and generation of renewable energies. However …
ability to respect the forecasts of loads and generation of renewable energies. However …
Regression-based model error compensation for a hierarchical MPC building energy management system
One of the major challenges in the development of energy management systems (EMSs) for
complex buildings is accurate modeling. To address this, we propose an EMS, which …
complex buildings is accurate modeling. To address this, we propose an EMS, which …
I'll tell you what I want: Categorization of Pareto Fronts for Automated Rule-based Decision-Making
The application of Pareto optimization in control engineering requires decision-making as a
downstream step since one solution has to be selected from the set of computed Pareto …
downstream step since one solution has to be selected from the set of computed Pareto …