Add to ORKG7 pagesLocal energy storage and smart energy scheduling can be used to flatten energy profiles with undesirable peaks. Extending a recently developed model to allow controllable loads, we present Centralized and Decentralized Model Predictive Control algorithms to reduce these peaks. Numerical results show that the additional degree of freedom leads to improved performance
Due to the growing energy demand in residential building, the need to reduce carbon footprint, and t...
This article presents a new energy management system (EMS) for a variety of energy flexibility conve...
Model predictive control (MPC) strategies can be applied to the coordination of energy hubs to reduc...
Abstract Local energy storage and smart energy scheduling can be used to flatten energy profiles wit...
Efficient management of energy resources is crucial in smart buildings. In this work, model predicti...
The authors recently proposed several model predictive control (MPC) approaches to manage residentia...
With an increasing use of distributed energy resources and intelligence in the electricity infrastru...
With the increasing use of distributed energy resources and intelligence in the electricity infrastr...
This article presents two low bandwidth distributed model predictive control (MPC) based algorithms ...
International audienceIn this second part of the paper dedicated to energy management in buildings a...
Abstract—The method described in this paper balances power production and consumption with a large n...
This paper deals with the load shifting problem in a household equipped with smart appliances and an...
This paper presents a control strategy for residential battery energy storage systems, which is awar...
The recent rapid uptake of residential solar photovoltaic (PV) installations provides many challenge...
As the growth of renewable energy sources, such as wind, solar, and ocean wave, increases, their imp...
Due to the growing energy demand in residential building, the need to reduce carbon footprint, and t...
This article presents a new energy management system (EMS) for a variety of energy flexibility conve...
Model predictive control (MPC) strategies can be applied to the coordination of energy hubs to reduc...
Abstract Local energy storage and smart energy scheduling can be used to flatten energy profiles wit...
Efficient management of energy resources is crucial in smart buildings. In this work, model predicti...
The authors recently proposed several model predictive control (MPC) approaches to manage residentia...
With an increasing use of distributed energy resources and intelligence in the electricity infrastru...
With the increasing use of distributed energy resources and intelligence in the electricity infrastr...
This article presents two low bandwidth distributed model predictive control (MPC) based algorithms ...
International audienceIn this second part of the paper dedicated to energy management in buildings a...
Abstract—The method described in this paper balances power production and consumption with a large n...
This paper deals with the load shifting problem in a household equipped with smart appliances and an...
This paper presents a control strategy for residential battery energy storage systems, which is awar...
The recent rapid uptake of residential solar photovoltaic (PV) installations provides many challenge...
As the growth of renewable energy sources, such as wind, solar, and ocean wave, increases, their imp...
Due to the growing energy demand in residential building, the need to reduce carbon footprint, and t...
This article presents a new energy management system (EMS) for a variety of energy flexibility conve...
Model predictive control (MPC) strategies can be applied to the coordination of energy hubs to reduc...