Abstracts – Browse Results
Click on the titles below to expand the information about each abstract.
Viewing 29 results ...
Alshboul, O; Shehadeh, A; Saleh, E (2025) Advancing construction quality management: An integrated evidential reasoning and belief functions framework. Journal of Construction Engineering and Management, 151(8).
Altalhoni, A; Liu, H; Abudayyeh, O; Kwigizile, V; Huang, W C; Kirkpatrick, K (2025) Robust forecasting models for highway construction cost indices during pandemic-era inflation. Journal of Construction Engineering and Management, 151(8).
Bhatia, A; Moselhi, O; Han, S (2025) Hybrid optimization approach for scheduling in panelized construction manufacturing. Journal of Construction Engineering and Management, 151(8).
Chau, A D; Hoang, H T; Nguyen, L D (2025) Web-based decision support system for automated pavement design and life-cycle cost analysis. Journal of Construction Engineering and Management, 151(8).
Chen, Z; Zhou, X; Zhang, Z; Yan, H; Niu, X; Li, Y (2025) Using the decomposed theory of planned behavior and a structural equation model with partial least squares to investigate construction and demolition waste reduction behavior. Journal of Construction Engineering and Management, 151(8).
Darko, A; Weerasinghe, L N K; Chan, A P C; Wu, L (2025) Partial least squares structural equation modeling of challenges to existing residential building net zero carbon retrofitting. Journal of Construction Engineering and Management, 151(8).
He, H; He, Q; Chan, A P C; Feng, X; Dong, S (2025) Exploring the driving mechanisms of interorganizational knowledge sharing based on the Bayesian network analysis. Journal of Construction Engineering and Management, 151(8).
He, P; Qin, L; Yuan, Y; Yuan, J (2025) Action reliability assessment framework for automated construction labor measurements: Case study on plastering operations. Journal of Construction Engineering and Management, 151(8).
Heravi, M Y; Jang, Y; Chauhan, H (2025) Comparative analysis of deep-learning approaches for automatic recognition of awkward postures in construction environments through wrist-worn biosensors. Journal of Construction Engineering and Management, 151(8).
Jiang, S; Wang, S; Sun, H; Liu, W; Xiao, B; Cha, H S; Zhang, J (2025) Enhancing quality management: Lightweight detection and risk warning of concrete cracks and rebar exposure using improved YOLOv8. Journal of Construction Engineering and Management, 151(8).
Ju, Q; Zheng, R; Liu, H; Shen, Z (2025) Exploring the effect of interface management on project success in complex capital projects: The moderating role of relational capital. Journal of Construction Engineering and Management, 151(8).
Li, J; Huang, W; Song, D; Zhou, L; Yang, B (2025) A constrained planning method: Considering storage space limitations and soft logic for cruise cabin assembly scheduling. Journal of Construction Engineering and Management, 151(8).
Lopez, J; Bhandari, S; Perry, L; Ayer, S K; Hallowell, M R; Jones, M (2025) Analyzing the impact of virtual reality and haptic feedback on the safety skills of construction workers. Journal of Construction Engineering and Management, 151(8).
Ma, B; Cai, Y; Zhang, H; Fan, Y; Wang, F; Wang, P; Lyu, Z; Zhao, Z (2025) Evaluating construction risks of ultralarge diameter bored pile in deep water using combination weighting with two-dimensional cloud optimization. Journal of Construction Engineering and Management, 151(8).
Ma, J; Zhao, Y; Zheng, D; Liao, X; Lu, J (2025) CSADnet: Attention-based semantic segmentation method for spraying scene images of building gables. Journal of Construction Engineering and Management, 151(8).
Ma, S; Li, Z; Shen, Y (2025) Decision-making framework for selecting sustainable prefabricated residential building technology schemes under minimum assembly rate constraints. Journal of Construction Engineering and Management, 151(8).
Ma, Z; Gu, J; Zhao, Q; Yang, M; Qian, C; He, M; Hei, X (2025) Intelligent optimization of blasting parameters in railroad tunnels based on blasting quality control. Journal of Construction Engineering and Management, 151(8).
Salhab, D; Pourrahimian, E; Lindhard, S M; Hamzeh, F (2025) Patterns, 4D simulations, and artificial intelligence-driven insights: Redefining construction workspace management. Journal of Construction Engineering and Management, 151(8).
Shao, B; Meng, J; Che, W (2025) Long-term energy usage prediction in public buildings using aggregated modal decomposition and gru. Journal of Construction Engineering and Management, 151(8).
- Type: Journal Article
- Keywords: complete ensemble empirical mode decomposition with adaptive noise; energy consumption prediction; gated recurrent unit; k -shape; variational mode decomposition
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/JCEMD4.COENG-15410
- Abstract:
According to the Global State of Building and Construction Report 2024, the building sector accounts for one-fifth of global greenhouse gas (GHG) emissions. High energy consumption in buildings is destroying the environment; causing air pollution, the greenhouse effect, and the urban heat island effect; and causing great harm to social and economic development. Public buildings are of great concern due to their high energy consumption per unit area, low energy efficiency, and prominent energy waste. By accurately predicting energy consumption, energy use strategies can be optimized to improve energy efficiency and reduce energy consumption, which helps to reduce carbon emissions from buildings. This is of great significance in addressing global climate change and realizing sustainable development goals. Building energy consumption, as typical time series data, is affected by various factors such as dew point temperature, barometric pressure value, and wind speed. Therefore, how to construct accurate and reliable energy consumption prediction models is an important area of research in the field of construction worth further investigation. This study proposes a method for predicting energy usage using aggregated modal decomposition and gated recurrent units (GRUs). The model is developed by creating a number of smooth component sequences from the original random energy usage time series data, clustering them by the K-shape method, and, in order to predict each internal modal function, the GRU prediction method is adopted. Last, the total prediction is produced by combining the predictions made by each component. In order to demonstrate the accuracy of the prediction algorithm chosen in this study, several comparative studies were conducted, and to verify the generalization of the model, five buildings with different uses were used for the tests. Compared to other models, the model predicted values with minimum values for the error metrics root mean square error (RMSE), mean absolute error (MAE), mean absolute percentage error [MAPE (%)], and maximum accuracy (R2).
Shiha, A; El-Adaway, I H (2025) Localized multivariate statistical assessment of United States construction labor shortages. Journal of Construction Engineering and Management, 151(8).
Wang, Z; Shen, Y; Li, K (2025) Resilience strengthening paths for precast production management in prefabricated construction. Journal of Construction Engineering and Management, 151(8).
Xiao, Q; Long, T; Huang, W; Liang, X; Klarin, A (2025) Unpacking the relationship between safety leadership and safety behaviors in the construction industry: Multistakeholder perspective. Journal of Construction Engineering and Management, 151(8).
Xu, Y; Chi, M; Lee, C Y; Chong, H Y; Wu, H (2025) Effects of the blockchain and artificial intelligence on value cocreation in construction projects: A mixed methods study. Journal of Construction Engineering and Management, 151(8).
Ying, W; Dai, X; Shen, W (2025) Rapid project delivery through bricolage and planning: A case study of the huoshenshan hospital project. Journal of Construction Engineering and Management, 151(8).
Zhang, C; Zhang, W; Shi, Y; Zhao, T; Zhang, Y (2025) Digital safety navigation for tower crane climbing process from a systematic perspective: Risk identification, safety information requirements, and related intelligent platform. Journal of Construction Engineering and Management, 151(8).
Zhang, Z; Guo, H; Li, H; Fang, Y (2025) Agent-based simulation approach to analyzing the impact of construction safety management behaviors on workers' safety behaviors. Journal of Construction Engineering and Management, 151(8).
Zhao, Z; Wang, X; Ji, Y; Liu, H; Liu, X; Yao, F (2025) Analysis of quality-influencing factors of adopting prefabricated steel structure housings: Based on the ISM-MICMAC model. Journal of Construction Engineering and Management, 151(8).
Zheng, Y; Debs, L; Besiktepe, D; Oh, H J (2025) Insights for key professional competencies of us entry-level construction positions: A structural topic modeling approach. Journal of Construction Engineering and Management, 151(8).
Zu, L; Liao, W (2025) Reinforcement learning-based multiobjective and multiconstraint production scheduling for precast concrete. Journal of Construction Engineering and Management, 151(8).