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[PDF] Top 20 Model Predictive Control for Demand Response Management Systems in Smart Buildings

Has 10000 "Model Predictive Control for Demand Response Management Systems in Smart Buildings" found on our website. Below are the top 20 most common "Model Predictive Control for Demand Response Management Systems in Smart Buildings".

Model Predictive Control for Demand Response Management Systems in Smart Buildings

Model Predictive Control for Demand Response Management Systems in Smart Buildings

... ever-increasing demand for energy, a trend that will only continue to ...(HVAC) systems. Therefore, energy efficiency in buildings has justifiably been a common research area for ... Voir le document complet

130

Power peak shaving with data transmission delays for thermal management in smart buildings

Power peak shaving with data transmission delays for thermal management in smart buildings

... Delays for Thermal Management in Smart Buildings Yu Zhang, Yuan Jin, Jianguo Yao, Senior Member, IEEE, Guchuan Zhu, Senior Member, IEEE, and Bin Wen Abstract—This paper presents a ... Voir le document complet

10

Model Predictive Control of Building Systems for Energy Flexibility

Model Predictive Control of Building Systems for Energy Flexibility

... flexibility for two types of residential buildings in Denmark (a passive house and an old house built in the 1980s) as well as for two kinds of heating systems (radiators and ... Voir le document complet

147

Design of Piecewise Affine and Linear Time-Varying Model Predictive Control Strategies for Advanced Battery Management Systems

Design of Piecewise Affine and Linear Time-Varying Model Predictive Control Strategies for Advanced Battery Management Systems

... strategies for the optimal charging of a Li-ion cell based on linear and piece-wise linear model approxima- ...considered in, e.g., 26 where a finite step response model was used ... Voir le document complet

12

Application of Distributed Model Predictive Approaches to Temperature and $CO_2$ Concentration Control in Buildings

Application of Distributed Model Predictive Approaches to Temperature and $CO_2$ Concentration Control in Buildings

... INTRODUCTION Buildings consume more than 40% of the total primary en- ergy resources throughout the world [Shaikh et ...and control strategies cause energy waste that should be avoid by a better ... Voir le document complet

7

Development and assessment of a reduced-order building model designed for model predictive control of space-heating demand in district heating systems

Development and assessment of a reduced-order building model designed for model predictive control of space-heating demand in district heating systems

... space-heating demand is directly correlated with weather conditions without accounting for the thermal capacitance of its envelope [6] are not suitable for optimal control ...Moreover, ... Voir le document complet

13

Energy optimization and management of demand response interactions in a smart campus

Energy optimization and management of demand response interactions in a smart campus

... proposals for Energy Management Systems (EMSes) for smart buildings and microgrids have recently been discussed and the implementation details of some demonstrative deployments ... Voir le document complet

20

Optimal pressure management in water distribution systems for the reduction of water losses and leaks by means of a predictive real-time control model.

Optimal pressure management in water distribution systems for the reduction of water losses and leaks by means of a predictive real-time control model.

... References [1] American Water Works Association (2008) Water Audits and Loss Control Programs: M36 (Vol. 36). American Water Works Association (AWWA). [2] Thornton J, Sturm R & Kunkel G (2008) Water Loss ... Voir le document complet

1

Demand response for smart homes

Demand response for smart homes

... Abstract: Smart homes have the potential to achieve optimal energy consumption with appropriate ...The control of smart appliances can be based on optimization models, which should be realistic and ... Voir le document complet

127

Game-theoretic decentralized model predictive control of thermal appliances in discrete-event systems framework

Game-theoretic decentralized model predictive control of thermal appliances in discrete-event systems framework

... used in the context of smart buildings to assist the decision making process and to handle the interaction between energy supply and request in energy demand ...means for ... Voir le document complet

12

User-Oriented Demand Response for Smart Buildings

User-Oriented Demand Response for Smart Buildings

... load management, user behavior, cost performance, and curve ...scheme for online operation and load control given a maximum consumption ...level. In the stochastic DSM program in ... Voir le document complet

100

Modular and Hierarchical Discrete Control for Applications and Middleware Deployment in IoT and Smart Buildings

Modular and Hierarchical Discrete Control for Applications and Middleware Deployment in IoT and Smart Buildings

... off. In the state Off, the output flow cmd is equal to s off (switch off) when this state is newly reached and nothing ...remains in Off. c) Contract: it allows for DCS through a tool called the ReaX ... Voir le document complet

9

Modelling and control of multi-energy systems through multi-prosumer node and economic model predictive control

Modelling and control of multi-energy systems through multi-prosumer node and economic model predictive control

... Multi-Energy Systems (MES) modelling and ad- vanced control with Economic Model Predictive Control ...lever for integrating renewable ...developed in this ...off-grid. ... Voir le document complet

40

Demand-responsive commercial buildings

Demand-responsive commercial buildings

... that, in the future, buildings will have a much more dynamic relationship with the electrical ...have systems in place to allow them to participate in this interaction manually, and ... Voir le document complet

6

Model following control for nonlinear systems

Model following control for nonlinear systems

... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignemen[r] ... Voir le document complet

19

Smart Datacenter Electrical Load Model for Renewable Sources Management

Smart Datacenter Electrical Load Model for Renewable Sources Management

... computing systems to provide a power constrained optimization. In Fig- ure 1 we present an architecture in which RECO could be ...integrated. In this figure we can observe two main compo- ... Voir le document complet

7

Optimal Energy Management Using Model Predictive Control: Application to an Experimental Building

Optimal Energy Management Using Model Predictive Control: Application to an Experimental Building

... to model errors and initial state errors : it needs to be implemented in a global process (described in the following section) including a calibration step (to correct model errors) and an ... Voir le document complet

10

Impulsive zone model predictive control for rendezvous hovering phases

Impulsive zone model predictive control for rendezvous hovering phases

... attention in the last decade, specially in the field of biomedical research (diseases treatments, where the drug intakes are of short ...formulation in this context, two main problems had to be ... Voir le document complet

9

Advanced demand response solutions based on fine-grained load control

Advanced demand response solutions based on fine-grained load control

... of Demand Response has motivated a large set of contributions during the last ...years. Demand Response approaches can be grouped in two categories: pricing based and direct load ... Voir le document complet

9

Differential Explanations for Energy Management in Buildings

Differential Explanations for Energy Management in Buildings

... used for ranking solutions at every generation of optimization and also for reporting the best can- didate solution after termination of the optimization ... Voir le document complet

23

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