By Dr Huadong Mo

Journal articles

Ahmad A; Xiao X; Mo H; Dong D, 2025, 'TFTformer: A novel transformer based model for short-term load forecasting', International Journal of Electrical Power and Energy Systems, 166, http://dx.doi.org/10.1016/j.ijepes.2025.110549

Qin JC; Jiang R; Mo H; Dong D, 2025, 'A data-driven mixed integer programming approach for joint chance-constrained optimal power flow under uncertainty', International Journal of Machine Learning and Cybernetics, 16, pp. 1111 - 1127, http://dx.doi.org/10.1007/s13042-024-02325-x

Selim A; Mo H; Pota H, 2025, 'Dataset of noise signals generated by smart attackers for disrupting state of health and state of charge estimations of battery energy storage systems', Data in Brief, 58, http://dx.doi.org/10.1016/j.dib.2024.111200

Mo H; Li C; Liu N; Zhao B; Dong H; Liu H; Zio E, 2025, 'Energy storage systems for carbon neutrality: Challenges and opportunities', Frontiers of Engineering Management, http://dx.doi.org/10.1007/s42524-025-4190-3

Wang C; Wu J; Yang Y; Zhu H; Mo H, 2024, 'Multi-scale self-attention feature decoupling transfer network-based cross-domain capacity prediction of lithium-ion batteries', Journal of Energy Storage, 103, http://dx.doi.org/10.1016/j.est.2024.114286

Mo H; Xiao X; Sansavini G; Dong D, 2024, 'Optimal defense resource allocation against cyber-attacks in distributed generation systems', Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 238, pp. 1302 - 1329, http://dx.doi.org/10.1177/1748006X231196259

Sanni MT; Pota HR; Dong D; Mo H, 2024, 'Pilot point selection for secondary voltage control in active distribution networks with applications to an Australian feeder', Ain Shams Engineering Journal, 15, http://dx.doi.org/10.1016/j.asej.2024.102972

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

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