A review of artificial intelligence based building energy use prediction: Contrasting the capabilities of single and ensemble prediction models Z Wang, RS Srinivasan Renewable and Sustainable Energy Reviews 75, 796-808, 2017 | 631 | 2017 |
Random Forest based hourly building energy prediction Z Wang, Y Wang, R Zeng, RS Srinivasan, S Ahrentzen Energy and Buildings 171, 11-25, 2018 | 510 | 2018 |
The impacts of transportation infrastructure on sustainable development: Emerging trends and challenges L Wang, X Xue, Z Zhao, Z Wang International journal of environmental research and public health 15 (6), 1172, 2018 | 188 | 2018 |
A novel ensemble learning approach to support building energy use prediction Z Wang, Y Wang, RS Srinivasan Energy and Buildings 159, 109-122, 2018 | 181 | 2018 |
Practical issues in implementing machine-learning models for building energy efficiency: Moving beyond obstacles Z Wang, J Liu, Y Zhang, H Yuan, R Zhang, RS Srinivasan Renewable and Sustainable Energy Reviews 143, 110929, 2021 | 93 | 2021 |
A review of artificial intelligence based building energy prediction with a focus on ensemble prediction models Z Wang, RS Srinivasan 2015 Winter simulation conference (WSC), 3438-3448, 2015 | 74 | 2015 |
Artificial intelligent models for improved prediction of residential space heating Z Wang, RS Srinivasan, J Shi Journal of Energy Engineering 142 (4), 04016006, 2016 | 41 | 2016 |
Collaborative innovation for sustainable construction: The case of an industrial construction project network R Zhang, Z Wang, Y Tang, Y Zhang Ieee Access 8, 41403-41417, 2020 | 36 | 2020 |
Factors influencing BIM adoption for construction enterprises in China R Zhang, Y Tang, L Wang, Z Wang Advances in Civil Engineering 2020 (1), 8848965, 2020 | 36 | 2020 |
Principles, research status, and prospects of feature engineering for data-driven building energy prediction: A comprehensive review Z Wang, L Xia, H Yuan, RS Srinivasan, X Song Journal of Building Engineering 58, 105028, 2022 | 34 | 2022 |
A unified assessment approach for urban infrastructure sustainability and resilience L Wang, X Xue, Z Wang, L Zhang Advances in Civil Engineering 2018 (1), 2073968, 2018 | 34 | 2018 |
Collaborative relationship discovery in green building technology innovation: Evidence from patents in China's construction industry R Zhang, Y Tang, Y Zhang, Z Wang Journal of Cleaner Production 391, 136041, 2023 | 29 | 2023 |
Framework for a blockchain-based infrastructure project financing system Y Zhang, Z Wang, J Deng, Z Gong, I Flood, Y Wang IEEE access 9, 141555-141570, 2021 | 19 | 2021 |
Classification of household appliance operation cycles: A case-study approach Z Wang, RS Srinivasan Energies 8 (9), 10522-10536, 2015 | 18 | 2015 |
Risk management in sustainable supply chain: A knowledge map towards intellectual structure, logic diagram, and conceptual model L Wang, Y Cheng, Z Wang Environmental Science and Pollution Research 29 (44), 66041-66067, 2022 | 17 | 2022 |
Major knowledge diffusion paths of megaproject management: A citation-based analysis H Wu, X Xue, Z Zhao, Z Wang, GQ Shen, X Luo Project Management Journal 51 (3), 242-261, 2020 | 16 | 2020 |
Preventive maintenance of centralized HVAC systems: use of acoustic sensors, feature extraction, and unsupervised learning R Srinivasan, M Tamzeed Islam, B Islam, Z Wang, T Sookoor, O Gnawali, ... Building Simulation 2017 15, 2518-2524, 2017 | 16 | 2017 |
Identifying the optimal heterogeneous ensemble learning model for building energy prediction using the exhaustive search method Z Wang, Z Liang, R Zeng, H Yuan, RS Srinivasan Energy and Buildings 281, 112763, 2023 | 9 | 2023 |
Analyzing the topology characteristic and effectiveness of the China city network L Wang, X Xue, X Zhou, Z Wang, R Liu Environment and Planning B: Urban Analytics and City Science 48 (9), 2554-2573, 2021 | 9 | 2021 |
A dynamic analysis to evaluate the environmental performance of cities in China L Wang, X Xue, Y Shi, Z Wang, A Ji Sustainability 10 (3), 862, 2018 | 9 | 2018 |