Analyzing the importance of network topology in aadt estimation: insights from travel demand models using graph neural networks
Published in Transportation (Accepted for publication), 2024
Publications
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Journal Articles
Leveraging large language models with chain Of Thought and prompt engineering for traffic crash severity analysis and inference
Published in arXiv preprint, 2024
Recommended citation: Hao Zhen, Y Shi, Y Huang, JJ Yang, N Liu. (2024). "Leveraging Large Language Models with Chain-of-Thought and Prompt Engineering for Traffic Crash Severity Analysis and Inference." arXiv preprint arXiv:2408.04652.
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Eco Driving trajectory planning of a heterogeneous platoon in urban environments
Published in IFAC-PapersOnLine, 2022
Recommended citation: Hao Zhen, S Mosharafian, JJ Yang, JM Velni. (2022). "Eco-driving Trajectory Planning of a Heterogeneous Platoon in Urban Environments." IFAC-PapersOnLine. 55(24), 161-166.
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Co\ Supervised learning paradigm with conditional generative adversarial networks for sample Efficient classification
Published in arXiv preprint, 2022
Recommended citation: Hao Zhen, Y Shi, JJ Yang, JM Velni. (2022). "Co-supervised learning paradigm with conditional generative adversarial networks for sample-efficient classification." arXiv preprint arXiv:2212.13589.
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How to improve the efficiency of global energy interconnection capital allocation? analysis from the perspective of spatial heterogeneity and driving factors
Published in Journal of Cleaner Production, 2022
Recommended citation: D Niu, Z Ji, W Li, Hao Zhen. (2022). "How to improve the efficiency of global energy interconnection capital allocation? Analysis from the perspective of spatial heterogeneity and driving factors." Journal of Cleaner Production. 330, 129841.
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Carbon dioxide emissions, urbanization level, and industrial structure: empirical evidence from north china
Published in Environmental Science and Pollution Research, 2022
Recommended citation: Z Siqin, D Niu, M Li, Hao Zhen, X Yang. (2022). "Carbon dioxide emissions, urbanization level, and industrial structure: empirical evidence from North China." Environmental Science and Pollution Research. 29(23), 34528-34545.
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A two Stage distributionally robust optimization model for p2g Cchp microgrid considering uncertainty and carbon emission
Published in Energy, 2022
Recommended citation: Z Siqin, DX Niu, X Wang, Hao Zhen, MY Li, J Wang. (2022). "A two-stage distributionally robust optimization model for P2G-CCHP microgrid considering uncertainty and carbon emission." Energy. 260, 124796.
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Photovoltaic power forecasting based on ga improved bi Lstm in microgrid without meteorological information
Published in Energy, 2021
Recommended citation: Hao Zhen, D Niu, K Wang, Y Shi, Z Ji, X Xu. (2021). "Photovoltaic power forecasting based on GA improved Bi-LSTM in microgrid without meteorological information." Energy. 231, 120908.
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A hybrid deep learning model and comparison for wind power forecasting considering temporal Spatial feature extraction
Published in Sustainability, 2020
Recommended citation: Hao Zhen, D Niu, M Yu, K Wang, Y Liang, X Xu. (2020). "A hybrid deep learning model and comparison for wind power forecasting considering temporal-spatial feature extraction." Sustainability. 12(22), 9490.
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Wind power short Term forecasting hybrid model based on ceemd Se method
Published in Processes, 2019
Recommended citation: K Wang, D Niu, L Sun, Hao Zhen, J Liu, G De, X Xu. (2019). "Wind power short-term forecasting hybrid model based on CEEMD-SE method." Processes. 7(11), 843.
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