A Hybrid Long-Term Load Forecasting Model for Distribution Feeder Peak Demand using LSTM Neural Network. - Ming Dong 003; L. S. Grumbach (CoRR, 2018)

Combining Unsupervised and Supervised Learning for Asset Class Failure Prediction in Power Systems. - Ming Dong 003; L. S. Grumbach (CoRR, 2019)

A Hybrid Distribution Feeder Long-Term Load Forecasting Method Based on Sequence Prediction. - Ming Dong 003; Lukas Grumbach (IEEE Trans. Smart Grid, 2020)

Assessment of Overloading Correlations Among Transmission Lines Under Load Redistribution Attacks. - Shibin Gao; Jieyu Lei; Jian Shi; Xiaoguang Wei; Ming Dong 003; Zhu Han 001 (IEEE Trans. Smart Grid, 2022)

A Reinforcement Learning Approach for Defending Against Multiscenario Load Redistribution Attacks. - Jieyu Lei; Shibin Gao; Jian Shi; Xiaoguang Wei; Ming Dong 003; Wenshuang Wang; Zhu Han 001 (IEEE Trans. Smart Grid, 2022)