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 …
Energy modeling and model predictive control for HVAC in buildings: A review of current research trends
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 …
emissions, which may significantly impact climate change. Heating, ventilation, and air …
[HTML][HTML] Enhancing building energy efficiency using a random forest model: A hybrid prediction approach
The building envelope considerably influences building energy consumption. To enhance
the energy efficiency of buildings, this paper proposes an approach to predict building …
the energy efficiency of buildings, this paper proposes an approach to predict building …
A dynamic intelligent building retrofit decision-making model in response to climate change
Building energy-saving retrofitting has become an essential way for the building sector to
cope with climate change. Furthermore, climate change affects building retrofit strategies …
cope with climate change. Furthermore, climate change affects building retrofit strategies …
Optimization of high-performance concrete mix ratio design using machine learning
B Chen, L Wang, Z Feng, Y Liu, X Wu, Y Qin… - … Applications of Artificial …, 2023 - Elsevier
High-durability concrete is required in extremely cold or ocean environments, making the
design of concrete mixes highly important and complicated. In this study, a hybrid intelligent …
design of concrete mixes highly important and complicated. In this study, a hybrid intelligent …
A review of data-driven building performance analysis and design on big on-site building performance data
Building performance design (BPD) is a crucial pathway to achieve high-performance
buildings. Previous simulation-based BPD is being questioned due to the performance gaps …
buildings. Previous simulation-based BPD is being questioned due to the performance gaps …
[HTML][HTML] Multi-zone optimisation of high-rise buildings using artificial intelligence for sustainable metropolises. Part 1: Background, methodology, setup, and machine …
Designing high-rise buildings is one of the complex tasks of architecture because it involves
interdisciplinary performance aspects in the conceptual phase. The necessity for sustainable …
interdisciplinary performance aspects in the conceptual phase. The necessity for sustainable …
Exploring data-driven building energy-efficient design of envelopes based on their quantified impacts
Z Tian, X Shi, SM Hong - Journal of Building Engineering, 2021 - Elsevier
Building performance design plays a key role in reducing the energy consumption of
buildings. However, the widely used simulation-based design is facing several challenges …
buildings. However, the widely used simulation-based design is facing several challenges …
Visualized literature review on sustainable building renovation
C He, Y Hou, L Ding, P Li - Journal of Building Engineering, 2021 - Elsevier
Sustainable building renovation is an important way to address energy and environmental
problems. The paper uses CiteSpace, a visualized method to present a literature review …
problems. The paper uses CiteSpace, a visualized method to present a literature review …
[HTML][HTML] A master digital model for suspension bridges
Long-span suspension bridges require accumulated design and construction technologies
owing to challenging environmental conditions and complex engineering practices. Building …
owing to challenging environmental conditions and complex engineering practices. Building …