Data mining in the construction industry: Present status, opportunities, and future trends

H Yan, N Yang, Y Peng, Y Ren - Automation in Construction, 2020 - Elsevier
The construction industry is experiencing remarkable growth in the data generation. Data
mining (DM) from considerable amount of data in the construction industry has emerged as …

[HTML][HTML] Energy performance certificates—New opportunities for data-enabled urban energy policy instruments?

O Pasichnyi, J Wallin, F Levihn, H Shahrokni, O Kordas - Energy policy, 2019 - Elsevier
Energy performance certificates (EPC) were introduced in European Union to support
reaching energy efficiency targets by informing actors in the building sector about energy …

[HTML][HTML] How will future climate impact the design and performance of nearly zero energy buildings (NZEBs)?

D D'Agostino, D Parker, I Epifani, D Crawley, L Lawrie - Energy, 2022 - Elsevier
Climate change, driven by greenhouse gas emissions, is a growing global concern,
threatening world-wide environment, health and economy. Energy needs for buildings are a …

Machine learning-based thermal response time ahead energy demand prediction for building heating systems

Y Guo, J Wang, H Chen, G Li, J Liu, C Xu, R Huang… - Applied energy, 2018 - Elsevier
Energy demand prediction of building heating is conducive to optimal control, fault detection
and diagnosis and building intelligentization. In this study, energy demand prediction …

What cause large regional differences in PM2. 5 pollutions in China? Evidence from quantile regression model

B Xu, B Lin - Journal of cleaner production, 2018 - Elsevier
China has become one of the most heavily polluted countries in the world with China's air
pollution attracting claims from some international media of its spread to neighboring …

A hybrid data mining approach on BIM-based building operation and maintenance

Y Peng, JR Lin, JP Zhang, ZZ Hu - Building and environment, 2017 - Elsevier
Huge amounts of data are generated daily during the operation and maintenance (O&M)
phase of buildings. These accumulated data have the potential to provide deep information …

Early predicting cooling loads for energy-efficient design in office buildings by machine learning

NT Ngo - Energy and Buildings, 2019 - Elsevier
Energy-efficient building design has become imperative for energy conservation, emissions
reduction, and life quality enhancement of occupant. Physics-based whole building energy …

Demand side management optimization and energy labeling of multi-purpose buildings

AH Heydari, RH Khoshkhoo, R Zahedi… - Journal of Building …, 2024 - Elsevier
A multi-purpose building with different applications such as residential, office, cultural,
restaurant, parking, etc. is analyzed in this research. The facilities in many multi-purpose …

Effect of building energy efficiency certificate on reducing energy consumption of non-residential buildings in South Korea

C Ji, T Hong, H Kim, S Yeom - Energy and Buildings, 2022 - Elsevier
An accurate understanding of the effect of energy efficiency policies is a key to achieving
national goals. This study aims to analyze the effects of building energy efficiency certificates …

Novel approach of the integrated work & risk breakdown structure for identifying the hierarchy of fatal incident in construction industry

J Jeong, J Jeong - Journal of Building Engineering, 2021 - Elsevier
Given that the accident rate in the construction industry has remained higher than those in
other industries for decades, various techniques and tools have been proposed to control …