Cited by 201Building Energy and Comfort OptimizationIoT-based Smart Home SystemsEnergy Efficiency in Computing

Automatic HVAC control with real-time occupancy recognition and simulation-guided model predictive control in low-cost embedded system

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Aftab, Muhammad, Chen, Chien, Chau, Chi-Kin, Rahwan, Talal·2017·Energy and Buildings

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Crossref · 10.1016/j.enbuild.2017.07.077

Cites

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  • Researchers have suggested combining optimization-based control algorithms with ML techniques such as image recognition, regression trees, and time delay neural networks to reduce GHG emissions from HVAC systems.

    “To reduce GHG emissions from HVAC systems, researchers have suggested combining optimization-based control algorithms with ML techniques such as image recognition, regression trees, and time delay neural networks [5,202] (see also 4.1).”

    From Tackling climate change with machine learning (2023) · cites this paper as [5]

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Research works printed but not linked: 2

  1. J. Cigler, D. Gyalistras, J. Široky, V. Tiet, L. Ferkl, Beyond theory: the challenge of implementing model predictive control in buildings, in: Proceedings of 11th Rehva World Congress, Clima, Vol. 250, 2013.
  2. G. Bradski, Dr. Dobb's Journal of Software Tools.

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Authors
Aftab, M., Chen, C., Chau, C.-K., & Rahwan, T.
Affiliations
Khalifa University of Science and Technology (AE)
Corresponding author
Chau, Chi-Kin
Venue
Energy and Buildings
Publisher
Elsevier BV
Published
2017-11
Volume
154
Pages
141-156
ISSN
0378-7788 (ISSN-L)
OpenAlex
W2746463599
Cited by
201
References
54
Citations by year
2026: 8 · 2025: 15 · 2024: 29 · 2023: 38 · 2022: 24 · 2021: 29 · 2020: 21 · 2019: 17 · 2018: 17 · 2017: 3
FWCI
14.83
Type
journal article
Language
en
Open access
Locations
  • Energy and Buildings (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • arXiv (Cornell University)
Topics
  • Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › IoT-based Smart Home Systems
  • Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
Keywords
HVAC control, model predictive control, building automation, embedded systems, Raspberry Pi, EnergyPlus, building energy conservation

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