Roles of artificial intelligence in construction engineering and management: A critical review and future trends
With the extensive adoption of artificial intelligence (AI), construction engineering and
management (CEM) is experiencing a rapid digital transformation. Since AI-based solutions …
management (CEM) is experiencing a rapid digital transformation. Since AI-based solutions …
A review and reflection on open datasets of city-level building energy use and their applications
Data related to building energy use fuels the research and applications on building energy
efficiency, which is an essential measure to address global energy and environmental …
efficiency, which is an essential measure to address global energy and environmental …
[HTML][HTML] Slope stability prediction using ensemble learning techniques: A case study in Yunyang County, Chongqing, China
W Zhang, H Li, L Han, L Chen, L Wang - Journal of Rock Mechanics and …, 2022 - Elsevier
Slope stability prediction plays a significant role in landslide disaster prevention and
mitigation. This study develops an ensemble learning-based method to predict the slope …
mitigation. This study develops an ensemble learning-based method to predict the slope …
Data-driven estimation of building energy consumption and GHG emissions using explainable artificial intelligence
Energy consumption prediction is an integral part of planning and controlling energy used in
the building sector which accounts for 40% of the global energy consumption and a …
the building sector which accounts for 40% of the global energy consumption and a …
Deep reinforcement learning for multi-objective optimization in BIM-based green building design
For green building design, this paper proposes a multi-objective optimization (MOO)
framework to properly adjust design parameters using a deep reinforcement learning (DRL) …
framework to properly adjust design parameters using a deep reinforcement learning (DRL) …
Optimizing energy efficiency and thermal comfort in building green retrofit
Q Li, L Zhang, L Zhang, X Wu - Energy, 2021 - Elsevier
Building green retrofit offers significant opportunities for enhancing energy efficiency and
achieving green development goals. However, a conflicting criterion exists between energy …
achieving green development goals. However, a conflicting criterion exists between energy …
BIM-supported automatic energy performance analysis for green building design using explainable machine learning and multi-objective optimization
Y Shen, Y Pan - Applied Energy, 2023 - Elsevier
Supported by the combination of the advanced BIM technique with intelligent algorithms, this
paper develops a systematic framework using explainable machine learning and multi …
paper develops a systematic framework using explainable machine learning and multi …
Dynamic adaptive encoder-decoder deep learning networks for multivariate time series forecasting of building energy consumption
Accurate energy consumption prediction models can bring tremendous benefits to building
energy efficiency, where the use of data-driven models allows models to be trained based …
energy efficiency, where the use of data-driven models allows models to be trained based …
Carbon peak and carbon neutrality in the building sector: A bibliometric review
Due to large energy consumption and carbon emissions (ECCE) in the building sector, there
is huge potential for carbon emission reduction, and this will strongly influence peak carbon …
is huge potential for carbon emission reduction, and this will strongly influence peak carbon …
Data-driven battery state of health estimation based on interval capacity for real-world electric vehicles
R Li, J Hong, H Zhang, X Chen - Energy, 2022 - Elsevier
State of health (SOH) estimation is critical to the safety of battery systems in real-world
electric vehicles. Accurate battery health status is difficult to be measured during dynamic …
electric vehicles. Accurate battery health status is difficult to be measured during dynamic …