ORCID as entered in ROS

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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, http://dx.doi.org/10.20944/preprints202501.1015.v1
Selim A; Mo H; Pota H; Dong D, 2024, Adaptive BESS and Grid Setpoints Optimization: A Model-Free Framework for Efficient Battery Management under Dynamic Tariff Pricing, http://dx.doi.org/10.48550/arxiv.2408.09989
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, http://dx.doi.org/10.20944/preprints202406.1525.v1
Rao J; Yang F; Mo H; Kollmannsberger S; Rank E, 2021, Quantitative reconstruction of defects in multi-layered bonded composites using fully convolutional network-based ultrasonic inversion, http://dx.doi.org/10.1016/j.jsv.2022.117418