| Passive and active phase change materials integrated building energy systems with advanced machine-learning based climate-adaptive designs, intelligent operations, uncertainty … Y Zhou, S Zheng, Z Liu, T Wen, Z Ding, J Yan, G Zhang Renewable and Sustainable Energy Reviews 130, 109889, 2020 | 153 | 2020 |
| Machine-learning based hybrid demand-side controller for high-rise office buildings with high energy flexibilities Y Zhou, S Zheng Applied Energy 262, 114416, 2020 | 133 | 2020 |
| Machine learning-based optimal design of a phase change material integrated renewable system with on-site PV, radiative cooling and hybrid ventilations—study of modelling and … Y Zhou, S Zheng, G Zhang Energy 192, 116608, 2020 | 88 | 2020 |
| Artificial neural network based multivariable optimization of a hybrid system integrated with phase change materials, active cooling and hybrid ventilations Y Zhou, S Zheng, G Zhang Energy Conversion and Management 197, 111859, 2019 | 86 | 2019 |
| Machine-learning based study on the on-site renewable electrical performance of an optimal hybrid PCMs integrated renewable system with high-level parameters’ uncertainties Y Zhou, S Zheng, G Zhang Renewable Energy 151, 403-418, 2020 | 84 | 2020 |
| A review on cooling performance enhancement for phase change materials integrated systems—flexible design and smart control with machine learning applications Y Zhou, S Zheng, G Zhang Building and Environment 174, 106786, 2020 | 71 | 2020 |
| Study on the energy performance enhancement of a new PCMs integrated hybrid system with the active cooling and hybrid ventilations Y Zhou, S Zheng, G Zhang Energy 179, 111-128, 2019 | 64 | 2019 |
| Techno-economic performance analysis of synergistic energy sharing strategies for grid-connected prosumers with distributed battery storages S Zheng, G Huang, ACK Lai Renewable Energy 178, 1261-1278, 2021 | 56 | 2021 |
| Exergy-based optimisation of a phase change materials integrated hybrid renewable system for active cooling applications using supervised machine learning method L Tang, Y Zhou, S Zheng, G Zhang Solar Energy 195, 514-526, 2020 | 54 | 2020 |
| Coordination of commercial prosumers with distributed demand-side flexibility in energy sharing and management system S Zheng, X Jin, G Huang, ACK Lai Energy 248, 123634, 2022 | 50 | 2022 |
| Dynamic heat transfer model and applicability evaluation of aerogel glazing system in various climates of China Y Chen, Y Xiao, S Zheng, Y Liu, Y Li Energy 163, 1115-1124, 2018 | 50 | 2018 |
| A cross-scale modelling and decarbonisation quantification approach for navigating Carbon Neutrality Pathways in China Y Zhou, S Zheng, J Lei, Y Zi Energy Conversion and Management 297, 117733, 2023 | 48 | 2023 |
| A state-of-the-art-review on phase change materials integrated cooling systems for deterministic parametrical analysis, stochastic uncertainty-based design, single and multi … Y Zhou, S Zheng, G Zhang Energy and Buildings 220, 110013, 2020 | 47 | 2020 |
| Multi-level uncertainty optimisation on phase change materials integrated renewable systems with hybrid ventilations and active cooling Y Zhou, S Zheng Energy 202, 117747, 2020 | 47 | 2020 |
| Thermal performance and optimized thickness of active shape-stabilized PCM boards for side-wall cooling and under-floor heating system Y Zhou, S Zheng, H Chen, G Zhang Indoor and Built Environment 25 (8), 1279-1295, 2016 | 44 | 2016 |
| Multivariable optimisation of a new PCMs integrated hybrid renewable system with active cooling and hybrid ventilations Y Zhou, S Zheng, G Zhang Journal of Building Engineering 26, 100845, 2019 | 41 | 2019 |
| Climate adaptive optimal design of an aerogel glazing system with the integration of a heuristic teaching-learning-based algorithm in machine learning-based optimization Y Zhou, S Zheng Renewable Energy 153, 375-391, 2020 | 34 | 2020 |
| Uncertainty study on thermal and energy performances of a deterministic parameters based optimal aerogel glazing system using machine-learning method Y Zhou, S Zheng Energy 193, 116718, 2020 | 34 | 2020 |
| Machine learning-based multi-objective optimisation of an aerogel glazing system using NSGA-II—study of modelling and application in the subtropical climate Hong Kong Y Zhou, S Zheng Journal of Cleaner Production 253, 119964, 2020 | 32 | 2020 |
| Numerical study on the thermal and optical performances of an aerogel glazing system with the multivariable optimization using an advanced machine learning algorithm S Zheng, Y Zhou Advanced Theory and Simulations 2 (9), 1900092, 2019 | 25 | 2019 |
