[1] H. Zhu, Y. Huang, D. Zhang, et al., Hybrid deep learning model for battery swap station load prediction considering differentiated fluctuation sequences, Energy, 2025, 338, 2025, 138850. (SCI中科院一区, IF: 9.4)
[2] H. Zhu, H. Goh, D. Zhang, et al., Key technologies for smart energy systems: recent developments, challenges, and research opportunities in the context of carbon neutrality, Journal of Cleaner Production, Vol. 331, 2022, 129809. (ESI高被引论文,SCI中科院一区, IF: 11.1)
[3] H. Zhu, D. Zhang, H. Goh, et al., Future data center energy-conservation and emission-reduction technologies in the context of smart and low-carbon city construction, Sustainable Cities and Society, Vol. 89, 2023, 104322. (SCI中科院一区, IF: 10.5)
[4] D. Zhang, H. Zhu, H. Zhang, et al., Multi-Objective Optimization for Smart Integrated Energy System Considering Demand Responses and Dynamic Prices, IEEE Transactions on Smart Grid, vol. 13, no. 2, pp. 1100-1112, March 2022. (ESI高被引论文,SCI中科院一区, IF: 9.6)
[5] Z. Wang, H. Zhu*, D. Zhang, et al., Modelling of wind and photovoltaic power output considering dynamic spatio-temporal correlation, Applied Energy, Vol. 352, 2023, 121948. (SCI中科院一区, IF: 10.1)
[7] H. Zhu, M. Jiang, D. Zhang, et al., Carbon neutrality pathways exploration-A state-of-the-art study: Key technological advancements, current challenges, and potential opportunities, Sustainable Energy Technologies and Assessments, Vol. 60, 2023, 103489. (SCI中科院二区, IF: 7.1)