| Random Forest based hourly building energy prediction Z Wang, Y Wang, R Zeng, RS Srinivasan, S Ahrentzen Energy and Buildings 171, 11-25, 2018 | 520 | 2018 |
| Adopting Internet of Things for the development of smart buildings: A review of enabling technologies and applications M Jia, A Komeily, Y Wang, RS Srinivasan Automation in Construction 101, 111-126, 2019 | 507 | 2019 |
| A novel ensemble learning approach to support building energy use prediction Z Wang, Y Wang, RS Srinivasan Energy and Buildings 159, 109-122, 2018 | 183 | 2018 |
| A hybrid method for crude oil price direction forecasting using multiple timeframes dynamic time wrapping and genetic algorithm S Deng, Y Xiang, Z Fu, M Wang, Y Wang Applied Soft Computing 82, 105566, 2019 | 22 | 2019 |
| Homogeneous ensemble model for building energy prediction: a case study using ensemble regression tree Z Wang, R Srinivasan, Y Wang Proceedings of the 2016 ACEEE Summer Study on Energy Efficiency in Buildings …, 2016 | 8 | 2016 |
| Promoting economic recovery from the perspective of energy-economic resilience: Model construction and case study Y Wang, Z Gong, W Pan Frontiers in Energy Research 8, 212, 2020 | 4 | 2020 |
| Empirically-based modelling approaches to the truck weigh-in-motion problem Y Wang, I Flood 2015 Winter Simulation Conference (WSC), 3288-3297, 2015 | 1 | 2015 |
| Machine learning approaches to determining truck type from bridge loading response. Y Wang, I Flood Journal of Information Technology in Construction 28, 2023 | | 2023 |
