A review of multi-objective optimization algorithms in the field of chemotherapy optimization
Even with the great advancements achieved in the field of medicine, cancer still poses a
great threat to humanity, taking millions of lives each year. Chemotherapy is one of the most …
great threat to humanity, taking millions of lives each year. Chemotherapy is one of the most …
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 …
[HTML][HTML] Hierarchical MPC for building energy management: Incorporating data-driven error compensation and mitigating information asymmetry
The increasing adoption of renewable energy sources (RESs) in public power grids has led
to a demand for more intelligent energy management systems (EMSs) in large-scale …
to a demand for more intelligent energy management systems (EMSs) in large-scale …
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 …
Multi-objective model predictive control for microgrids
Economic model predictive control is applied to a simplified linear microgrid model.
Monetary costs and thermal comfort are simultaneously optimized by using Pareto optimal …
Monetary costs and thermal comfort are simultaneously optimized by using Pareto optimal …
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 …
PARODIS: One MPC framework to control them all-Almost
We introduce the MATLAB framework PARODIS, the Pareto optimal Model Predictive
Control framework for distributed Systems. It is a general-purpose, flexible and easy-to-use …
Control framework for distributed Systems. It is a general-purpose, flexible and easy-to-use …
Evaluating the Impact of Data Availability on Machine Learning-augmented MPC for a Building Energy Management System
A major challenge in the development of Model Predictive Control (MPC)-based energy
management systems (EMSs) for buildings is the availability of an accurate model. One …
management systems (EMSs) for buildings is the availability of an accurate model. One …
Implicit Incorporation of Heuristics in MPC-Based Control of a Hydrogen Plant
The replacement of fossil fuels in combination with an increasing share of renewable energy
sources leads to an increased focus on decentralized microgrids. One option is the local …
sources leads to an increased focus on decentralized microgrids. One option is the local …