Research output per year
Research output per year
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Collaborations from the last five years
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A graph neural network (GNN) method for assigning gas calorific values to natural gas pipeline networks
Yang, Z., Liu, Z., Zhou, J., Song, C., Xiang, Q., He, Q., Hu, J., Faber, M. H., Zio, E., Li, Z., Su, H. & Zhang, J., 1 Sept 2023, In: Energy. 278, 127875.Research output: Contribution to journal › Journal article › Research › peer-review
13 Citations (Scopus) -
A resilience evaluation method of natural gas pipeline system based on uncertainty analysis
Yang, Z., Li, X., Xiang, Q., He, Q., Faber, M. H., Zio, E., Su, H. & Zhang, J., Sept 2023, In: Process Safety and Environmental Protection. 177, p. 891-908 18 p.Research output: Contribution to journal › Journal article › Research › peer-review
3 Citations (Scopus) -
Dynamic Prediction of Natural Gas Calorific Value Based on Deep Learning
Hu, J., Yang, Z. & Su, H., 10 Jan 2023, In: Energies. 16, 2, 799.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile4 Citations (Scopus)23 Downloads (Pure) -
Probabilistic simulation model of resilience assessment of natural gas pipeline systems
Yang, Z., Xiang, Q., He, Q., Zio, E., Faber, M. H., Su, H. & Zhang, J., 2023, In: Journal of Physics: Conference Series. 2595, 1, 012014.Research output: Contribution to journal › Conference article in Journal › Research › peer-review
Open AccessFile17 Downloads (Pure) -
Resilience of Natural Gas Pipeline System: A Review and Outlook
Yang, Z., Xiang, Q., He, Y., Peng, S., Faber, M. H., Zio, E., Zuo, L., Su, H. & Zhang, J., Sept 2023, In: Energies. 16, 17, 6237.Research output: Contribution to journal › Review article › peer-review
Open AccessFile3 Citations (Scopus)24 Downloads (Pure)