By Associate Professor Huadong Mo

Journal articles

Wang C; Wu J; Lei Y; Zhang H; Mo H, 2026, 'Convolutional attention channel factorization mixing network-based state of health estimation for lithium-ion batteries', Reliability Engineering and System Safety, 272, http://dx.doi.org/10.1016/j.ress.2026.112567

Gao Z; Xiao X; Mo H; Dong D, 2026, 'Physics-informed condition monitoring for wind turbines via change point detection under heteroscedasticity', Reliability Engineering and System Safety, 272, http://dx.doi.org/10.1016/j.ress.2026.112458

Chen X; Zhang H; Shi L; Mo H; Guo F, 2026, 'From load prediction to resilience diagnosis: a multi-scale framework for power distribution systems', Electric Power Systems Research, 256, http://dx.doi.org/10.1016/j.epsr.2026.112913

Xu J; Sun Q; Yang Y; Mo H; Dong D, 2026, 'Online planning of power flows for power systems against bushfires using spatial context', Automatica, 189, http://dx.doi.org/10.1016/j.automatica.2026.112985

Wang C; Liu C; Wu J; He X; Mo H, 2026, 'A lightweight hierarchical temporal convolution network for robust state of health estimation of lithium-ion batteries', Journal of Power Sources, 677, http://dx.doi.org/10.1016/j.jpowsour.2026.239935

Wang C; Yang Y; Wu J; He X; Mo H, 2026, 'A diffusion causal transformer network with physical information for lithium-ion battery state-of-health estimation', Journal of Energy Storage, 160, http://dx.doi.org/10.1016/j.est.2026.121768

Liu W; Mo H; Lee CK, 2026, 'Compressive strength prediction for SCM-based concretes using a multiple machine learning models and datasets approach', Results in Engineering, 30, http://dx.doi.org/10.1016/j.rineng.2026.110262

Song C; Liu Y; Zhang G; Mo H; Dong D, 2026, 'Evolutionary Optimization-Based Design of LQG Controllers in Quantum Coherent Feedback', IEEE Transactions on Cybernetics, 56, pp. 2791 - 2804, http://dx.doi.org/10.1109/TCYB.2026.3651242

Hu H; Liang C; Huang X; Mo H; Zou C; Tao S, 2026, 'ONET: Operator network for randomized and robust battery health estimation using operation condition and cycling data matching', Journal of Power Sources, 672, http://dx.doi.org/10.1016/j.jpowsour.2026.239592

Selim A; Mo H; Pota H; Dong D, 2026, 'Adaptive optimization of BESS and grid set points: A model-free framework for energy management under dynamic tariff pricing', Energy, 346, http://dx.doi.org/10.1016/j.energy.2026.140148

Wang Z; Sun Z; Bian Y; Mo H; Dong D, 2026, 'Learning hierarchical time–frequency representation for long-term time series forecasting', Information Processing and Management, 63, http://dx.doi.org/10.1016/j.ipm.2025.104358

Rana MM; Mo H; Romlie MF; Qiao L; Dong D, 2026, 'Rule-based peak shaving strategy with battery storage: Evaluating socio-economic impacts in regional grids', Energy and Buildings, 354, http://dx.doi.org/10.1016/j.enbuild.2026.116983

Li Y; Tian Y; Mo H; Du S, 2026, 'Gaussian Process Controlled B-Spline Surface', INFORMS Journal on Data Science, http://dx.doi.org/10.1287/ijds.2024.0061

Gao Z; Xiao X; Mo H; Dong D, 2026, 'A computational framework for censoring design in monitoring lifetime data from one-dimensional exponential families', Journal of Quality Technology, 58, pp. 143 - 167, http://dx.doi.org/10.1080/00224065.2025.2612367

Guo F; Zhang Z; Ma X; Li L; Zhou H; Li C; Mo H, 2026, 'An Interpretable TCN– Transformer Framework for Lithium-Ion Battery State of Health Estimation Using SHAP Analysis', Quality and Reliability Engineering International, http://dx.doi.org/10.1002/qre.70155

Musleh AS; Chen G; Liu B; Fan S; Al-Durra A; Muyeen SM; Dong ZY; Ambia MN; Gjorgiev B; Tao S; Mo H, 2026, 'Cybersecurity challenges in renewable-dominated power grids addressing vulnerabilities and resilience strategies', Cell Reports Physical Science, http://dx.doi.org/10.1016/j.xcrp.2026.103261

Rana MM; Mo H; Shafiullah GM; Qiao L; Dong D, 2026, 'Optimal sizing of battery storage for cost-effective peak shaving in regional distribution networks', Journal of Energy Storage, 141, http://dx.doi.org/10.1016/j.est.2025.119502

Rana MM; Mo H; Shafiullah G; Qiao L; Dong D, 2026, 'Peak Load Mitigation Using Battery Energy Storage Systems for a Regional Distribution Network', IEEE Transactions on Industry Applications, 62, pp. 2172 - 2185, http://dx.doi.org/10.1109/TIA.2025.3605311

Selim A; Mo H; Pota H; Dong D, 2026, 'Physics-Informed Neural Networks for Battery Degradation Prediction Under Random Walk Operations', Quality and Reliability Engineering International, http://dx.doi.org/10.1002/qre.70186

Malik UJ; Mohotti D; Mo H; Lee CK, 2025, 'A global dataset of UHPC mix designs with supplementary cementitious materials and nano additives', Data in Brief, 63, http://dx.doi.org/10.1016/j.dib.2025.112179

Selim A; Mo H; Pota H, 2025, 'Optimization framework for multi-vector energy communities with uncertainty-aware energy management', Applied Energy, 395, http://dx.doi.org/10.1016/j.apenergy.2025.126145

Selim A; Mo H; Pota H; Dong D, 2025, 'Day ahead scheduling of battery energy storage system operation using growth optimizer within cyber–physical–social systems', Energy, 331, http://dx.doi.org/10.1016/j.energy.2025.136675

Liu W; Mo H; Lee CK, 2025, 'Comprehensive dataset for performance evaluation of SCM-blended concrete', Data in Brief, 60, http://dx.doi.org/10.1016/j.dib.2025.111616

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, 12, pp. 305 - 329, http://dx.doi.org/10.1007/s42524-025-4190-3

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

Guo F; Xu K; Zhang Z; Zhou H; Chen G; Hu J; Zhang J; Mo H, 2025, 'Battery SOH Prediction Under Different Conditions via MBLSTM and iTransformer With Anomaly Detection and Explainability', IEEE Open Journal of the Computer Society, 6, pp. 1847 - 1857, http://dx.doi.org/10.1109/OJCS.2025.3625209

Wang Q; Xie M; Wang R; Mo H, 2025, 'FESD: Feature-Enhanced Structured-State-Space Diffusion Model for Battery SOH Prediction and Imputation', IEEE Transactions on Instrumentation and Measurement, 74, http://dx.doi.org/10.1109/TIM.2025.3600722

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

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