Abstract Model-based predictive control (MPC) describes a set of advanced control
methods, which make use of a process model to predict the future behavior of the controlled …

Reliable and efficient trajectory generation methods are a fundamental need for
autonomous dynamical systems. The goal of this article is to provide a comprehensive …

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terms of the Creative Commons Attribution-NonCommercial 4.0 License ( http://www …

It has been proven that advanced building control, like model predictive control (MPC), can
notably reduce the energy use and mitigate greenhouse gas emissions. However, despite …

Abstract The concept of Smart Buildings was introduced by the Energy Performance
Building Directive, with the aim to promote energy flexibility, renewable energy production …

With the rapid advancement of the high-performance computing technology and the
increasing availability of the mass-storage memory device, the application of the data-driven …

Managing supply and demand in the electricity grid is becoming more challenging due to
the increasing penetration of variable renewable energy sources. As significant end-use …

In the last few years, the application of Model Predictive Control (MPC) for energy
management in buildings has received significant attention from the research community …

Mixed-mode buildings utilise a combination of natural ventilation from operable building
envelopes and mechanical systems to realise climate-friendly ventilation and cooling. The …

In recent years, advanced control strategies based on Deep Reinforcement Learning (DRL)
proved to be effective in optimizing the management of integrated energy systems in …