Classifying Email Using Variable Precision Rough Set Approach. - Wenqing Zhao; Yongli Zhu (RSKT, 2006)

Power Transformer Fault Diagnosis Based on Rough Set Theory and Support Vector Machine. - Wenqing Zhao; Yongli Zhu (FSKD (4), 2007)

Shape-space based negative selection algorithm and its application on power transformer fault diagnosis. - Furong Xia; Yongli Zhu; Yuan Gao (ROBIO, 2007)

Vibration Signal Analysis of Rotor System Based on Time-Frequency Attributes. - Ling Xiang; Guiji Tang; Yongli Zhu (ICYCS, 2008)

Research on the Application of Multi-Agent to the Telecontrol Communication for Power System. - Min Huang; Jianqing Xi; Yongli Zhu; Bo Sun (PACIIA (2), 2008)

Application of EMD in the De-noise of Insulator Leakage Current. - Yongli Zhu; Yuanqing Huang (IFITA (3), 2009)

The application of Empirical Mode Decomposition and Gene Expression Programming to short-term load forecasting. - Xinqiao Fan; Yongli Zhu (ICNC, 2010)

Neighborhood Based SVM Multi-classification Method for Condition Assessment of Insulator. - Nian Du; Yongli Zhu (ISCID (2), 2011)

Chain-type wireless sensor network for monitoring power lines: Topology model and routing algorithm. - Yixin Kang; Yongli Zhu; Jing Gao (CCIS, 2012)

Cache conscious star-join in MapReduce environments. - Guoliang Zhou; Yongli Zhu; Guilan Wang (Cloud-I, 2013)

A decision tree based approach for microgrid islanding detection. - Riyasat Azim; Yongli Zhu; Hira Amna Saleem; Kai Sun 001; Fangxing Li 001; Di Shi; Ratnesh Sharma (ISGT, 2015)

运动状态与尺度估计的核相关目标跟踪方法 (Visual Object Tracking Method with Motion Estimation and Scale Estimation). - Hangjiang Zhu; Fan Zhu; Zhenfu Pan; Yongli Zhu (计算机科学, 2017)

Power Market Price Forecasting via Deep Learning. - Yongli Zhu; Renchang Dai; Guangyi Liu 002; Zhiwei Wang 004; Songtao Lu (IECON, 2018)

Optimization of Battery Energy Storage to Improve Power System Oscillation Damping. - Yongli Zhu; Chengxi Liu; Kai Sun 001; Di Shi; Zhiwei Wang 004 (CoRR, 2018)

Image Embedding of PMU Data for Deep Learning towards Transient Disturbance Classification. - Yongli Zhu; Chengxi Liu; Kai Sun 001 (CoRR, 2018)

Optimal Battery Energy Storage Placement for Transient Voltage Stability Enhancement. - Yongli Zhu; Renchang Dai; Guangyi Liu 002; Chengxi Liu; Yiran Xu (CoRR, 2019)

Fast Grid Splitting Detection for N-1 Contingency Analysis by Graph Computing. - Yongli Zhu; Lingpeng Shi; Renchang Dai; Guangyi Liu 002 (CoRR, 2019)

Mitigating Multi-Stage Cascading Failure by Reinforcement Learning. - Yongli Zhu; Chengxi Liu (CoRR, 2019)

Pattern Recognition of Partial Discharge Based on VMD-CWD Spectrum and Optimized CNN With Cross-Layer Feature Fusion. - Angran Gao; Yongli Zhu; Weihao Cai; Yi Zhang 087 (IEEE Access, 2020)

Improved Binary Artificial Fish Swarm Algorithm and Fast Constraint Processing for Large Scale Unit Commitment. - Yongli Zhu; Hui Gao (IEEE Access, 2020)

Parallel Betweenness Computation in Graph Database for Contingency Selection. - Yongli Zhu; Renchang Dai; Guangyi Liu 002 (CoRR, 2020)

Frequency Dynamics Constrained Sequential Service Restoration in Inverter-Dominated Microgrids. - Qianzhi Zhang; Zixiao Ma; Yongli Zhu; Zhaoyu Wang 001 (CoRR, 2021)

Power Grid Cascading Failure Mitigation by Reinforcement Learning. - Yongli Zhu (CoRR, 2021)

A Two-Level Simulation-Assisted Sequential Distribution System Restoration Model With Frequency Dynamics Constraints. - Qianzhi Zhang; Zixiao Ma; Yongli Zhu; Zhaoyu Wang 001 (IEEE Trans. Smart Grid, 2021)

End-to-End Topology-Aware Machine Learning for Power System Reliability Assessment. - Yongli Zhu; Chanan Singh (CoRR, 2022)

Assessing Bulk Power System Reliability by End-to-End Line Maintenance-Aware Learning. - Yongli Zhu; Chanan Singh (IEEE Access, 2023)

A Free Industry-grade Education Tool for Bulk Power System Reliability Assessment. - Yongli Zhu; Chanan Singh (CoRR, 2023)

MAHTM: A Multi-Agent Framework for Hierarchical Transactive Microgrids. - Nicolas M. Cuadrado; Roberto A. Gutiérrez 001; Yongli Zhu; Martin Takác 001 (CoRR, 2023)

Power Grid Transient Analysis via Open-Source Circuit Simulator: A Case Study of HVDC. - Yongli Zhu; Xiang Zhang; Renchang Dai (CoRR, 2023)

Distributed Stochastic ACOPF Based on Consensus ADMM and Scenario Reduction. - Shan Yang; Yongli Zhu (CoRR, 2024)

Embedded Machine Learning for Solar PV Power Regulation in a Remote Microgrid. - Yongli Zhu; Linna Xu; Jian Huang (CoRR, 2024)

Edge Computing for Microgrid via MATLAB Embedded Coder and Low-Cost Smart Meters. - Linna Xu; Jian Huang; Shan Yang; Yongli Zhu (CoRR, 2024)

Generative Modeling and Data Augmentation for Power System Production Simulation. - Linna Xu; Yongli Zhu (CoRR, 2024)

Diffusion-assisted Model Predictive Control Optimization for Power System Real-Time Operation. - Linna Xu; Yongli Zhu (CoRR, 2025)

Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation. - Bo Meng; Chenghao Xu; Yongli Zhu (CoRR, 2025)

Offline Reinforcement Learning for Microgrid Voltage Regulation. - Shan Yang; Yongli Zhu (CoRR, 2025)

On-Device Training of PV Power Forecasting Models in a Smart Meter for Grid Edge Intelligence. - Jian Huang; Yongli Zhu; Linna Xu; Zhe Zheng; Wenpeng Cui; Mingyang Sun (CoRR, 2025)