Building automation systems for energy and comfort management in green buildings: A critical review and future directions

G Qiang, S Tang, J Hao, L Di Sarno, G Wu… - … and Sustainable Energy …, 2023 - Elsevier
Green building (GB) strategies are essential for mitigating energy wastage in the building
sector, which accounts for nearly 40% of global energy consumption. However, due to the …

[HTML][HTML] Application of deep learning in facility management and maintenance for heating, ventilation, and air conditioning

MR Sanzana, T Maul, JY Wong, MOM Abdulrazic… - Automation in …, 2022 - Elsevier
Despite the promising results of deep learning research, construction industry applications
are still limited. Facility Management (FM) in construction has yet to take full advantage of …

Comparing natural language processing (NLP) applications in construction and computer science using preferred reporting items for systematic reviews (PRISMA)

S Chung, S Moon, J Kim, J Kim, S Lim, S Chi - Automation in Construction, 2023 - Elsevier
Despite the increasing use of natural language processing (NLP) in the construction
domain, no systematic comparison has been conducted between NLP applications in …

[HTML][HTML] Building digital twinning: Data, information, and models

S Yoon - Journal of Building Engineering, 2023 - Elsevier
This study proposes a novel framework and methodology for building digital twinning (BDT)
over the life cycle of a building. It aims to establish an intrinsic digital twin framework and …

Artificial neural networks for sustainable development of the construction industry

M Ahmed, S AlQadhi, J Mallick, NB Kahla, HA Le… - Sustainability, 2022 - mdpi.com
Artificial Neural Networks (ANNs), the most popular and widely used Artificial Intelligence
(AI) technology due to their proven accuracy and efficiency in control, estimation …

Digital Twin of HVAC system (HVACDT) for multiobjective optimization of energy consumption and thermal comfort based on BIM framework with ANN-MOGA

H Hosamo, MH Hosamo, HK Nielsen… - Advances in Building …, 2023 - Taylor & Francis
This study proposes a novel Digital Twin framework of heating, ventilation, and air
conditioning (HVACDT) system to reduce energy consumption while increasing thermal …

In situ modeling methodologies in building operation: A review

S Yoon - Building and Environment, 2023 - Elsevier
The building information and operational data generated during the building life cycle are
essential for realizing energy-efficient operation, indoor environmental quality, and …

Machine learning framework for the sustainable maintenance of building facilities

V Villa, G Bruno, K Aliev, P Piantanida, A Corneli… - Sustainability, 2022 - mdpi.com
The importance of sustainable building maintenance is growing as part of the Sustainable
Building concept. The integration and implementation of new technologies such as the …

An information management model for addressing residents' complaints through artificial intelligence techniques

J Bazzan, ME Echeveste, CT Formoso, B Altenbernd… - Buildings, 2023 - mdpi.com
Construction companies usually record customer complaints as unstructured texts, resulting
in unsuitable information to understand defect occurrences. Moreover, complaint databases …

A framework for a multi-source, data-driven building energy management toolkit

AA Markus, BW Hobson, HB Gunay, S Bucking - Energy and Buildings, 2021 - Elsevier
Poor building energy performance often arises from suboptimal operations such as
inappropriate control sequences or hard faults in heating, ventilation, and air-conditioning …