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Journal articles

Guo F; Mo H; Wu J; Pan L; Zhou H; Zhang Z; Li L; Huang F, 2024, 'A Hybrid Stacking Model for Enhanced Short-Term Load Forecasting', Electronics Switzerland, 13, http://dx.doi.org/10.3390/electronics13142719

Ahmad A; Xiao X; Mo H; Dong D, 2024, 'Tuning data preprocessing techniques for improved wind speed prediction', Energy Reports, 11, pp. 287 - 303, http://dx.doi.org/10.1016/j.egyr.2023.11.056

Gao Z; Xiao X; Fang YP; Rao J; Mo H, 2024, 'A Selective Review on Information Criteria in Multiple Change Point Detection', Entropy, 26, http://dx.doi.org/10.3390/e26010050

Uddin M; Mo H; Dong D; Elsawah S, 2023, 'Techno-economic potential of multi-energy community microgrid: The perspective of Australia', Renewable Energy, 219, http://dx.doi.org/10.1016/j.renene.2023.119544

Uddin M; Mo H; Dong D; Elsawah S; Zhu J; Guerrero JM, 2023, 'Microgrids: A review, outstanding issues and future trends', Energy Strategy Reviews, 49, http://dx.doi.org/10.1016/j.esr.2023.101127

Selim A; Mo H; Pota H; Dong D, 2023, 'Optimal Scheduling of Battery Energy Storage Systems Using a Reinforcement Learning-based Approach', IFAC Papersonline, 56, pp. 11741 - 11747, http://dx.doi.org/10.1016/j.ifacol.2023.10.546

Liu Q; Hu Q; Zhou J; Yu D; Mo H, 2023, 'Remaining Useful Life Prediction of PV Systems under Dynamic Environmental Conditions', IEEE Journal of Photovoltaics, 13, pp. 590 - 602, http://dx.doi.org/10.1109/JPHOTOV.2023.3272071

Rao J; Yang F; Mo H; Kollmannsberger S; Rank E, 2023, 'Quantitative reconstruction of defects in multi-layered bonded composites using fully convolutional network-based ultrasonic inversion', Journal of Sound and Vibration, 542, http://dx.doi.org/10.1016/j.jsv.2022.117418

Xu J; Sun Q; Mo H; Dong D, 2022, 'Online routing for smart electricity network under hybrid uncertainty', Automatica, 145, http://dx.doi.org/10.1016/j.automatica.2022.110538

Rana MM; Uddin M; Sarkar MR; Shafiullah GM; Mo H; Atef M, 2022, 'A review on hybrid photovoltaic – Battery energy storage system: Current status, challenges, and future directions', Journal of Energy Storage, 51, http://dx.doi.org/10.1016/j.est.2022.104597

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, http://dx.doi.org/10.1016/j.energy.2022.123418

Javaid MS; Bouchekara HREH; Mo H; Xiao X; Shahriar MS; Dong D, 2021, 'Optimization of electric spring operational strategy to minimize electricity bill', Electric Power Systems Research, 201, http://dx.doi.org/10.1016/j.epsr.2021.107540

Xiao X; Mo H; Dong D; Ryan M, 2021, 'Reliability analysis of aging control system via stability margins', Journal of Manufacturing Systems, 61, pp. 808 - 818, http://dx.doi.org/10.1016/j.jmsy.2020.12.010

Xu J; Liu B; Mo H; Dong D, 2021, 'Bayesian adversarial multi-node bandit for optimal smart grid protection against cyber attacks', Automatica, 128, pp. 109551, http://dx.doi.org/10.1016/j.automatica.2021.109551

Mo H; Sansavini G, 2021, 'Hidden Markov model-based smith predictor for the mitigation of the impact of communication delays in wide-area power systems', Applied Mathematical Modelling, 89, pp. 19 - 48, http://dx.doi.org/10.1016/j.apm.2020.07.026

Wu Z; Mo H; Xiong J; Xie M, 2020, 'Adaptive Event-Triggered Observer-Based Output Feedback L∞ Load Frequency Control for Networked Power Systems', IEEE Transactions on Industrial Informatics, 16, pp. 3952 - 3962, http://dx.doi.org/10.1109/TII.2019.2942637

Mo H; Sansavini G, 2019, 'Impact of aging and performance degradation on the operational costs of distributed generation systems', Renewable Energy, 143, pp. 426 - 439, http://dx.doi.org/10.1016/j.renene.2019.04.111

Mo H; Sansavini G; Xie M, 2018, 'Performance-based maintenance of gas turbines for reliable control of degraded power systems', Mechanical Systems and Signal Processing, 103, pp. 398 - 412, http://dx.doi.org/10.1016/j.ymssp.2017.10.021

Mo H; Sansavini G, 2018, 'Real-time coordination of distributed energy resources for frequency control in microgrids with unreliable communication', International Journal of Electrical Power and Energy Systems, 96, pp. 86 - 105, http://dx.doi.org/10.1016/j.ijepes.2017.09.029

Mo H; Sansavini G, 2017, 'Dynamic defense resource allocation for minimizing unsupplied demand in cyber-physical systems against uncertain attacks', IEEE Transactions on Reliability, 66, pp. 1253 - 1265, http://dx.doi.org/10.1109/TR.2017.2759328

Fang Z; Mo H; Wang Y; Xie M, 2017, 'Performance and reliability improvement of cyber-physical systems subject to degraded communication networks through robust optimization', Computers and Industrial Engineering, 114, pp. 166 - 174, http://dx.doi.org/10.1016/j.cie.2017.09.047

Mo H; Wang W; Xie M; Xiong J, 2017, 'Modeling and analysis of the reliability of digital networked control systems considering networked degradations', IEEE Transactions on Automation Science and Engineering, 14, pp. 1491 - 1503, http://dx.doi.org/10.1109/TASE.2015.2443132

Mo HD; Li YF; Zio E, 2016, 'A system-of-systems framework for the reliability analysis of distributed generation systems accounting for the impact of degraded communication networks', Applied Energy, 183, pp. 805 - 822, http://dx.doi.org/10.1016/j.apenergy.2016.09.041

Mo H; Xie M, 2016, 'A Dynamic Approach to Performance Analysis and Reliability Improvement of Control Systems with Degraded Components', IEEE Transactions on Systems Man and Cybernetics Systems, 46, pp. 1404 - 1414, http://dx.doi.org/10.1109/TSMC.2015.2504045

Mo H; Xie M; Levitin G, 2015, 'Optimal resource distribution between protection and redundancy considering the time and uncertainties of attacks', European Journal of Operational Research, 243, pp. 200 - 210, http://dx.doi.org/10.1016/j.ejor.2014.12.006

Peng R; Guo L; Levitin G; Mo H; Wang W, 2014, 'Maintenance versus individual and overarching protections for parallel systems', Quality Technology and Quantitative Management, 11, pp. 353 - 362, http://dx.doi.org/10.1080/16843703.2014.11673350

Yu H; Yang J; Mo H, 2014, 'Reliability analysis of repairable multi-state system with common bus performance sharing', Reliability Engineering and System Safety, 132, pp. 90 - 96, http://dx.doi.org/10.1016/j.ress.2014.07.017

Peng R; Mo H; Xie M; Levitin G, 2013, 'Optimal structure of multi-state systems with multi-fault coverage', Reliability Engineering and System Safety, 119, pp. 18 - 25, http://dx.doi.org/10.1016/j.ress.2013.05.007

Conference Papers

Liu W; Mo H; Lee CK, 2026, 'Forward prediction models for estimating mechanical properties of SCM-based concrete using machine learning techniques', in Fib Symposium, pp. 5838 - 5845

Sun Z; Ma H; Mo H, 2026, 'Mining Audio Cues for Generative Talking Heads', in 2026 6th IEEE International Conference on Cybernetics Cybconf 2026, pp. 101 - 106, http://dx.doi.org/10.1109/CYBCONF69298.2026.11670267

Wang R; Li Z; Guo F; Dong D; Mo H, 2025, 'A Comparative Study of Battery SOH Prediction Models: Exploration of Transformer Method with Reversible Instance Normalisation', in Conference Proceedings IEEE International Conference on Systems Man and Cybernetics, pp. 4144 - 4150, http://dx.doi.org/10.1109/SMC58881.2025.11342954

Xu K; Guo F; Wang R; Zhang R; Mo H, 2025, 'A PINN-Centric Approach to Battery SOH: Harmonizing LSTM Dynamics with Kalman Filter Precision', in Conference Proceedings IEEE International Conference on Systems Man and Cybernetics, pp. 4137 - 4143, http://dx.doi.org/10.1109/SMC58881.2025.11343412

Jing Y; Guo F; Zhang C; Qiao L; Mo H; Dong D, 2025, 'A Prescription-Centric Estimation Framework for Bi-Level Power System Operations with Analytical Representation', in Conference Proceedings IEEE International Conference on Systems Man and Cybernetics, pp. 4131 - 4136, http://dx.doi.org/10.1109/SMC58881.2025.11343681

Dean CM; Ma X; Ding T; Xu K; Chen Y; Mo H, 2025, 'A Study of Machine Learning Model's Performance for Load Forecasting Based on XAI Techniques', in 2025 17th International Conference on Computer and Automation Engineering Iccae 2025, pp. 227 - 231, http://dx.doi.org/10.1109/ICCAE64891.2025.10980589

Li Y; Li C; Zhang B; Xie R; Mo H; Huang J, 2025, 'An Integrated Knowledge Distillation Framework for Battery SOH Estimation', in 2025 4th International Conference on Smart Grid and Green Energy Icsgge 2025, pp. 539 - 542, http://dx.doi.org/10.1109/ICSGGE64667.2025.10984977

Lai D; Zhang Y; Liu Y; Li C; Mo H, 2025, 'Deep Learning-Based Multi-Modal Fusion for Robust Robot Perception and Navigation', in Proceedings of the Annual International Conference on Control Automation and Robotics Iccar, pp. 117 - 122, http://dx.doi.org/10.1109/ICCAR64901.2025.11073003

Xu K; Kang K; Mo H, 2025, 'Evaluating Data-Driven Methods for Battery State of Health Estimation: A Comparative Case Study', in 2025 7th International Conference on System Reliability and Safety Engineering Srse 2025, pp. 61 - 65, http://dx.doi.org/10.1109/SRSE67406.2025.11357339

Phaengsomsri L; Xu K; Ma X; Zhang Y; Mo H, 2025, 'Hybrid Machine Learning Model for Solar Energy Prediction', in 2025 17th International Conference on Computer and Automation Engineering Iccae 2025, pp. 218 - 222, http://dx.doi.org/10.1109/ICCAE64891.2025.10980519

Uddin M; Mo H; Dong D, 2025, 'Real-Time Energy Management Strategies for Community Microgrids', in Conference Proceedings 2025 IEEE International Conference on Energy Technologies for Future Grids Etfg 2025, http://dx.doi.org/10.1109/ETFG61999.2025.11402359

Selim A; Mo H; Pota H; Dong D, 2025, 'RLHF-Driven Household Appliance Scheduling with Dynamic Comfort Windows', in Conference Proceedings 2025 IEEE International Conference on Energy Technologies for Future Grids Etfg 2025, http://dx.doi.org/10.1109/ETFG61999.2025.11402447

Jiang W; Zhang Y; Wang M; Mo H; Hussain O; Dong D; Zhang W, 2025, 'Tracking Academic Topic Evolution From the Perspective of Author Interest Shifts', in Proceedings 2025 IEEE International Conference on E Business Engineering Icebe 2025, pp. 48 - 56, http://dx.doi.org/10.1109/ICEBE68123.2025.00015

Uddin M; Mo H; Dong D; Elsawah S, 2024, 'Energy Management in Community Microgrid-A Techno-economic Study Framework', in 2024 AUSTRALIAN & NEW ZEALAND CONTROL CONFERENCE, ANZCC, IEEE, AUSTRALIA, Gold Coast, pp. 169 - 174, presented at Australian and New Zealand Control Conference (ANZCC), AUSTRALIA, Gold Coast, 01 February 2024 - 02 February 2024, http://dx.doi.org/10.1109/ANZCC59813.2024.1043292

Guo F; Zhang Z; Mo H; Li C, 2024, 'A Method for Battery SoH Estimation Based on K-means and LightGBM algorithm', in 2024 6th International Conference on System Reliability and Safety Engineering Srse 2024, pp. 1 - 7, http://dx.doi.org/10.1109/SRSE63568.2024.10772504

Surmon S; Ahmad A; Xiao X; Mo H, 2024, 'Comparison of Neural Network Models for Short-Term Load Forecasting', in Conference Proceedings IEEE International Conference on Systems Man and Cybernetics, pp. 790 - 795, http://dx.doi.org/10.1109/SMC54092.2024.10831016

Song C; Liu Y; Dong D; Mo H, 2024, 'Control Hamiltonian selection for quantum state stabilization using deep reinforcement learning', in Chinese Control Conference Ccc, pp. 6783 - 6788, http://dx.doi.org/10.23919/CCC63176.2024.10662695

Jing Y; Chen J; Qiao L; Mo H; Dong D, 2024, 'Distributed Charging Scheduling and Pricing Strategy for Plug-in Electric Vehicles Based on Stackelberg-Nash and Multi-Cluster Aggregative Games', in Conference Proceedings IEEE International Conference on Systems Man and Cybernetics, pp. 4704 - 4709, http://dx.doi.org/10.1109/SMC54092.2024.10831676

Ahmad A; Xiao X; Mo H; Li C; Dong D, 2024, 'Drift-Aware Dynamic Neural Network for Improving Short-Term Load Forecasting', in 2024 International Conference on Smart Energy Systems and Technologies Driving the Advances for Future Electrification Sest 2024 Proceedings, http://dx.doi.org/10.1109/SEST61601.2024.10694209

Uddin M; Mo H; Dong D; Elsawah S, 2024, 'Energy Management in Community Microgrid-A Techno-economic Study Framework', in 2024 Australian and New Zealand Control Conference Anzcc 2024, pp. 169 - 174, http://dx.doi.org/10.1109/ANZCC59813.2024.10432921

Yan Y; Guo F; Mo H; Huang X, 2024, 'Hierarchical Tracking Control for a Composite Mobile Robot Considering System Uncertainties', in 2024 16th International Conference on Computer and Automation Engineering Iccae 2024, pp. 512 - 517, http://dx.doi.org/10.1109/ICCAE59995.2024.10569297

Zhang Y; Bui HT; Zipperle M; Buick F; Chand S; Hussain O; Wang M; Mo H; Zhang W, 2024, 'Perception Gaps Between Hashtag Stakeholders on X (Twitter) - Application on the Australian National Disability Insurance Scheme (#NDIS)', in Proceedings 2024 IEEE International Conference on E Business Engineering Icebe 2024, pp. 117 - 124, http://dx.doi.org/10.1109/ICEBE62490.2024.00027


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