Adaptive regression model-based real-time optimal control of central air-conditioning systems-Reference-Cited by-同舟云学术

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Adaptive regression model-based real-time optimal control of central air-conditioning systems

Published:2020-10 Issue: Volume:276 Page:115427
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Hussain Syed Asad,Huang Gongsheng,Yuen Richard Kwok Kit,Wang Wei

Funder

Research Grants Council, University Grants Committee

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference31 articles.

1. IEO. International energy outlet (IEO) energy information administration. http://www.eia.gov/forecasts/ieo/.

2. Modeling and optimization of HVAC energy consumption;Kusiak;Appl Energy,2010

3. Supervisory and optimal control of central chiller plants using simplified adaptive models and genetic algorithm;Ma;Appl Energy,2011

4. Optimal exergy control of building HVAC system;Razmara;Appl Energy,2015

5. A dual-benchmark based energy analysis method to evaluate control strategies for building HVAC systems;Du;Appl Energy,2016

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3. Two-stage optimization for the air conditioning system in public buildings with flexible control of indoor load;Energy and Buildings;2024-06

4. The precision motor losses-based real-time optimal control method for air-conditioning system considering energy saving and thermal comfort;Applied Thermal Engineering;2023-10

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