Dr Xun Xiao

2024

Journal - Research Article

Xiao, X., Ye, Z., & Revie, M. (2024). Learning local cascading failure pattern from massive network failure data. Journal of the Royal Statistical Society: Series C. Advance online publication. doi: 10.1093/jrsssc/qlae030

Mirfin, A., Xiao, X., & Jack, M. W. (2024). TOWST: A physics-informed statistical model for building energy consumption with solar gain. Applied Energy, 369, 123488. doi: 10.1016/j.apenergy.2024.123488

Chen, A. S., Xiao, X., & Yang, D. A. (2024). A Bayesian finite mixture model approach to evaluate dichotomization method for correlated ELISA tests. Preventive Veterinary Medicine, 225, 106144. doi: 10.1016/j.prevetmed.2024.106144

Ahmad, A., Xiao, X., Mo, H., & Dong, D. (2024). Tuning data preprocessing techniques for improved wind speed prediction. Energy Reports, 11, 287-303. doi: 10.1016/j.egyr.2023.11.056

Journal - Research Other

Gao, Z., Xiao, X., Fang, Y.-P., Rao, J., & Mo, H. (2024). A selective review on information criteria in multiple change point detection. Entropy, 26, 50. doi: 10.3390/e26010050

2023

Journal - Research Article

Mo, H., Xiao, X., Sansavini, G., & Dong, D. (2023). Optimal defense resource allocation against cyber-attacks in distributed generation systems. Proceedings of the Institution of Mechanical Engineers Part O: Journal of Risk & Reliability. Advance online publication. doi: 10.1177/1748006X231196259

Li, C., & Xiao, X. (2023). On censoring time in statistical monitoring of lifetime data. Technometrics. Advance online publication. doi: 10.1080/00401706.2023.2177351

2022

Journal - Research Article

Khosravi, M., Soleimanmeigouni, I., Ahmadi, A., Nissen, A., & Xiao, X. (2022). Modification of correlation optimized warping method for position alignment of condition measurements of linear assets. Measurement, 201, 111707. doi: 10.1016/j.measurement.2022.111707

Yang, D. A., Xiao, X., Jiang, P., Pfeiffer, D. U., & Laven, R. A. (2022). Keeping continuous diagnostic data continuous: Application of Bayesian latent class models in veterinary research. Preventive Veterinary Medicine, 201, 105596. doi: 10.1016/j.prevetmed.2022.105596

Xiao, X., Mo, H., Zhang, Y., & Shan, G. (2022). Meta-ANN: A dynamic artificial neural network refined by meta-learning for Short-Term Load Forecasting. Energy, 246, 123418. doi: 10.1016/j.energy.2022.123418

Xiao, X., & Li, M. (2022). Fusion of data-driven model and mechanistic model for kiwifruit flesh firmness prediction. Computers & Electronics in Agriculture, 193, 106651. doi: 10.1016/j.compag.2021.106651

Conference Contribution - Published proceedings: Abstract

Mirfin, A., Jack, M., & Xiao, X. (2022). Determining the true value of energy efficiency improvements and demand flexibility services. Proceedings of the 16th Otago Energy Research Centre (OERC) Symposium: An Equitable and Low-Cost Energy Transition. (pp. 30). Retrieved from https://www.otago.ac.nz/oerc/symposia

2021

Journal - Research Article

Tahir, A., Bennin, K. E., Xiao, X., & MacDonell, S. G. (2021). Does class size matter? An in-depth assessment of the effect of class size in software defect prediction. Empirical Software Engineering, 26(5), 106. doi: 10.1007/s10664-021-09991-3