[HTML][HTML] A systematic literature review on the use of artificial intelligence in energy self-management in smart buildings

J Aguilar, A Garces-Jimenez, MD R-moreno… - … and Sustainable Energy …, 2021 - Elsevier
Buildings are one of the main consumers of energy in cities, which is why a lot of research
has been generated around this problem. Especially, the buildings energy management …

Data-driven based HVAC optimisation approaches: A Systematic Literature Review

M Ala'raj, M Radi, MF Abbod, M Majdalawieh… - Journal of Building …, 2022 - Elsevier
Improving the energy efficiency of Heating, Ventilation, and Air Conditioning (HVAC)
systems is crucial to reduce buildings' energy costs and their carbon footprint. HVAC …

Effect of different building envelope materials on thermal comfort and air-conditioning energy savings: A case study in Basra city, Iraq

RZ Homod, A Almusaed, A Almssad, MK Jaafar… - Journal of Energy …, 2021 - Elsevier
Recently, a numerous number of houses has been built using AAC materials, which
consume the most amount of energy in the building sector by Heating, ventilation, and air …

A systematic review and meta-analysis of building automation systems

T O'Grady, HY Chong, GM Morrison - Building and Environment, 2021 - Elsevier
The recent rapid development of building automation systems (BAS) implies a need to
identify appropriate technologies for retrofitting into homes and offices without replacing …

Energy modeling and model predictive control for HVAC in buildings: A review of current research trends

D Kim, J Lee, S Do, PJ Mago, KH Lee, H Cho - Energies, 2022 - mdpi.com
Buildings use up to 40% of the global primary energy and 30% of global greenhouse gas
emissions, which may significantly impact climate change. Heating, ventilation, and air …

Scientometric mapping of smart building research: Towards a framework of human-cyber-physical system (HCPS)

P Li, Y Lu, D Yan, J Xiao, H Wu - Automation in Construction, 2021 - Elsevier
This paper reviews the state-of-the-art smart building research by a bibliometric analysis, a
content analysis, and a qualitative review. The bibliometric analysis of 364 academic papers …

Dynamics analysis of a novel hybrid deep clustering for unsupervised learning by reinforcement of multi-agent to energy saving in intelligent buildings

RZ Homod, H Togun, AK Hussein, FN Al-Mousawi… - Applied Energy, 2022 - Elsevier
The heating, ventilating and air conditioning (HVAC) systems energy demand can be
reduced by manipulating indoor conditions within the comfort range, which relates to control …

Infrastructure resilience to navigate increasingly uncertain and complex conditions in the Anthropocene

M Chester, BS Underwood, B Allenby, M Garcia… - Npj Urban …, 2021 - nature.com
Infrastructure are at the center of three trends: accelerating human activities, increasing
uncertainty in social, technological, and climatological factors, and increasing complexity of …

Consumer attitudes to the smart home technologies and the internet of things (IOT)

E Korneeva, N Olinder, W Strielkowski - Energies, 2021 - mdpi.com
This paper focuses on the consumer preferences for the so-called “smart homes”(also
known as “smart houses”) which represent a novel addition and a product of the on-going …

The role of internet of things (IoT) in the assessment and communication of indoor environmental quality (IEQ) in buildings: a review

EE Broday, MC Gameiro da Silva - Smart and Sustainable Built …, 2023 - emerald.com
Purpose The changes brought by Industry 4.0 go beyond transformations in the industrial
environment. The increasingly frequent digitization and robotization of activities is not only …