Identification of the optimal control strategies for the energy-efficient ventilation under the model predictive control-Reference-Cited by-同舟云学术

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Identification of the optimal control strategies for the energy-efficient ventilation under the model predictive control

Published:2020-02 Issue: Volume:53 Page:101908
ISSN:2210-6707
Container-title:Sustainable Cities and Society
language:en
Short-container-title:Sustainable Cities and Society

Author:

Fang Jian,Ma Ruifei,Deng Yelin

Funder

National Natural Science Foundation of China

Natural Science of Jiangsu Higher Education Institutions of China

Publisher

Elsevier BV

Subject

Transportation,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering,Geography, Planning and Development

Reference38 articles.

1. Theory and applications of HVAC control systems – A review of model predictive control (MPC);Afram;Building and Environment,2014

2. Automatic HVAC control with real-time occupancy recognition and simulation-guided model predictive control in low-cost embedded system;Aftab;Energy and Buildings,2017

3. Development of an intelligent building controller to mitigate indoor thermal dissatisfaction and peak energy demands in a district heating system;Ahn;Building and Environment,2017

4. Experimental analysis of a ground source heat pump in a residential installation after two years in operation;Aira;Renewable Energy,2017

5. Thermal Environmental Conditions for Human Occupancy;ANSI ASHRAE 55-2010,2010

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A comprehensive review of predictive control strategies in heating, ventilation, and air-conditioning (HVAC): Model-free VS model;Journal of Building Engineering;2024-10

2. Regret Analysis of Learning-Based MPC With Partially Unknown Cost Function;IEEE Transactions on Automatic Control;2024-05

3. Multi-objective optimization of building HVAC operation: Advanced strategy using Koopman predictive control and deep learning;Building and Environment;2024-01

4. Energy modelling and control of building heating and cooling systems with data-driven and hybrid models—A review;Renewable and Sustainable Energy Reviews;2023-09

5. Improving room temperature stability and operation efficiency using a model predictive control method for a district heating station;Energy and Buildings;2023-05

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