Artificial neural network (ANN) based model predictive control (MPC) and optimization of HVAC systems: A state of the art review and case study of a residential HVAC system-Reference-Cited by-同舟云学术

Artificial neural network (ANN) based model predictive control (MPC) and optimization of HVAC systems: A state of the art review and case study of a residential HVAC system

Published:2017-04 Issue: Volume:141 Page:96-113
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Afram Abdul,Janabi-Sharifi Farrokh,Fung Alan S.,Raahemifar Kaamran

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Building and Construction,Civil and Structural Engineering

Reference59 articles.

1. Annual Energy Outlook Early Release,2012

2. Energy Efficiency Trends in Canada 1990–2009,2011

3. Gray-box modeling and validation of residential HVAC system for control system design;Afram;Appl. Energy,2015

4. Review of modeling methods for HVAC systems;Afram;Appl. Therm. Eng.,2014

5. Modeling and Control Design of Residential HVAC Systems for Operating Cost Reduction;Afram,2016

Cited by 463 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. Long-term power forecasting of photovoltaic plants using artificial neural networks;Energy Reports;2024-12

2. Economic model predictive control for building HVAC system: A comparative analysis of model-based and data-driven approaches using the BOPTEST Framework;Applied Energy;2024-11

3. A turbulent flow topology optimization method for diverging tee resistance reduction;Journal of Building Engineering;2024-11

4. Deep reinforcement learning for PID parameter tuning in greenhouse HVAC system energy Optimization: A TRNSYS-Python cosimulation approach;Expert Systems with Applications;2024-10

5. A comparative study of DQN and D3QN for HVAC system optimization control;Energy;2024-10