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Number of items: 7.

Zhou, Yiwei, Guo, Xiao, Dai, Xiaoran, Lei, Zhongcheng, Hu, Wenshan and Zhou, Hong 2025. Real time simulation study of DEH for digital twin steam turbine generators. IET Generation, Transmission and Distribution 19 (1) , e70119. 10.1049/gtd2.70119
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Alasmari, Loloah, Packianather, Michael ORCID: https://orcid.org/0000-0002-9436-8206, Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940 and Guo, Xiao 2025. Assessing the circular transformation of warehouse operations through simulation. Applied Sciences 15 (20) , 10910. 10.3390/app152010910
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Zhang, Shaobo, Guo, Xiao and Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940 2025. Enhancing machine learning models for vertical farm energy forecasting: impact of data smoothing and feature selection. Presented at: 10th International Conference on Cloud Computing and Big Data Analytics, Chengdu, China, 24-26 April 2025. Proceedings of the 10th International Conference on Cloud Computing and Big Data Analytics. IEEE, pp. 151-160. 10.1109/ICCCBDA64898.2025.11030388
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Alasmari, Loloah, Packianather, Michael ORCID: https://orcid.org/0000-0002-9436-8206, Tuthill, Peter, Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940 and Guo, Xiao 2025. Assessing the circular transformation of warehouse operations through simulation. Presented at: The International Conference on Industry 4.0 and Smart Manufacturing (ISM), Prague, Czech Republic, 20-22 November 2024. Procedia Computer Science. , vol.253 pp. 1124-1133. 10.1016/j.procs.2025.01.174
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Schmid, Jonas, Sommer, Lutz, Ramos, Joao and Guo, Xiao 2024. Concept of hybrid-modelled digital twins for energy optimisation and flexible manufacturing systems for SMEs. Presented at: 57th CIRP Conference on Manufacturing Systems 2024 (CMS 2024), Portugal, 29-31 May 2024. Procedia CIRP. , vol.130 Elsevier, pp. 711-717. 10.1016/j.procir.2024.10.153
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Sommer, L., Schmid, J. and Guo, X.J. 2024. Open-source approach for modelling digital twins in non-profit organisations. Thrassou, A., Vrontis, D., Efthymiou, L., Weber, Y., Shams, S.M.R. and Tsoukatos, E., eds. Non-Profit Organisations, Volume IV Structures, Models and Technology, Palgrave Studies in Cross-disciplinary Business Research, In Association with EuroMed Academy of Business, Cham, Switzerland: Palgrave Macmillan, pp. 227-253. (10.1007/978-3-031-62538-1_10)

Liu, Yuhan, Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940, McCrory, John and Guo, Xiao 2024. High-fidelity digital twin modelling for predictive maintenance state-of-the-art. Presented at: The 51st International Conference on Computers and Industrial Engineering (CIE51), Sydney, Australia, 9-11 December 2024.
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