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 …

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 …

This paper investigates heat pump systems in smart grids, focussing on fields of application
and control approaches that have emerged in academic literature. Based on a review of …

In the past ten years many Stochastic Model Predictive Control (SMPC) algorithms have
been developed for systems subject to stochastic disturbances and model uncertainties …

This paper reviews occupancy based model predictive control (MPC) for building indoor
climate control. Occupancy behavior in buildings is stochastic and complex in nature. With …

Abstract Building Energy Management is identified as a key part of the move towards
localised energy generation and control. The significant discrepancy between building …

Energy storage systems play a crucial role in decreasing building energy consumption
during peak periods and expanding the use of renewable energies in buildings and …

This paper proposes a stochastic model predictive control (MPC) approach to optimize the
fuel consumption in a vehicle following context. The practical solution of that problem …

In recent years, renewable energy resources have been increasingly embedded in the
distribution grids, raising new issues such as reverse power flows, and challenging the …

Scalability of control algorithms used for savings energy in commercial building Heating,
Ventilation and Air-Conditioning (HVAC) system and their implementation on low cost …