AbstractThe aim of the paper is to present a demand-side management approach that uses a distributed model-based predictive controller to provide indoor thermal comfort in buildings with a limited green energy resource. The overall system predicts the indoor environmental conditions for buildings with different plans that are modeled using an electro-thermal modular scheme. For control purposes, this modular scheme allows an easy modeling of buildings with different plans where adjacent areas can thermally interact. The control system selects the most appropriate actions to satisfy the comfort and power constraints. In a distributed coordinated environment, the control uses multiple dynamically coupled agents (one for each subsystem/zone/ho...
Special Issue on Hierarchical and Distributed Model Predictive ControlInternational audienceThis pap...
Currently, energy management strategies for buildings are mostly based on a concatenationof logical ...
ABSTRACT: This paper presents a decentralized model predictive control (MPC) scheme for thermal appl...
This paper presents a distributed predictive control methodology for indoor thermal comfort that opt...
This paper presents a distributed model predictive control (DMPC) for indoor thermal comfort that si...
International audienceThis paper presents a distributed Model Predictive Control framework based on ...
© 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Buildings represent more than 40 % of world-wide energy consumption. Even if several control strateg...
This work reports a contribution, in a model predictive control multi-agent systems context, introdu...
WOSThis paper presents a predictive control structure for thermal regulation in buildings. The propo...
This work reports a contribution, in a model predictive control multi-agent systems context, introdu...
\u3cp\u3eIn the context of energy consumption reduction, this paper focuses on the application of Mo...
In the context of energy consumption reduction, this paper focuses on the application of Model Predi...
International audienceIn the context of energy consumption reduction, this paper focuses on the appl...
This paper studies the impact of using different types of energy storages integrated with a heat pum...
Special Issue on Hierarchical and Distributed Model Predictive ControlInternational audienceThis pap...
Currently, energy management strategies for buildings are mostly based on a concatenationof logical ...
ABSTRACT: This paper presents a decentralized model predictive control (MPC) scheme for thermal appl...
This paper presents a distributed predictive control methodology for indoor thermal comfort that opt...
This paper presents a distributed model predictive control (DMPC) for indoor thermal comfort that si...
International audienceThis paper presents a distributed Model Predictive Control framework based on ...
© 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Buildings represent more than 40 % of world-wide energy consumption. Even if several control strateg...
This work reports a contribution, in a model predictive control multi-agent systems context, introdu...
WOSThis paper presents a predictive control structure for thermal regulation in buildings. The propo...
This work reports a contribution, in a model predictive control multi-agent systems context, introdu...
\u3cp\u3eIn the context of energy consumption reduction, this paper focuses on the application of Mo...
In the context of energy consumption reduction, this paper focuses on the application of Model Predi...
International audienceIn the context of energy consumption reduction, this paper focuses on the appl...
This paper studies the impact of using different types of energy storages integrated with a heat pum...
Special Issue on Hierarchical and Distributed Model Predictive ControlInternational audienceThis pap...
Currently, energy management strategies for buildings are mostly based on a concatenationof logical ...
ABSTRACT: This paper presents a decentralized model predictive control (MPC) scheme for thermal appl...