Multiagent-Based Cooperative Control Framework for Microgrids' Energy Imbalance. - Fengji Luo; Yingying Chen; Zhao Xu 002; Gaoqi Liang; Yu Zheng 005; Jing Qiu 001 (IEEE Trans. Ind. Informatics, 2017)

A Review of False Data Injection Attacks Against Modern Power Systems. - Gaoqi Liang; Junhua Zhao 001; Fengji Luo; Steven R. Weller; Zhao Yang Dong (IEEE Trans. Smart Grid, 2017)

Super-Resolution Perception for Industrial Sensor Data. - Jinjin Gu; Guolong Liu; Gaoqi Liang; Junhua Zhao 001 (CoRR, 2018)

Generalized FDIA-Based Cyber Topology Attack With Application to the Australian Electricity Market Trading Mechanism. - Gaoqi Liang; Steven R. Weller; Fengji Luo; Junhua Zhao 001; Zhao Yang Dong (IEEE Trans. Smart Grid, 2018)

Distributed Blockchain-Based Data Protection Framework for Modern Power Systems Against Cyber Attacks. - Gaoqi Liang; Steven R. Weller; Fengji Luo; Junhua Zhao 001; Zhao Yang Dong (IEEE Trans. Smart Grid, 2019)

A Framework for Cyber-Topology Attacks: Line-Switching and New Attack Scenarios. - Gaoqi Liang; Steven R. Weller; Junhua Zhao 001; Fengji Luo; Zhao Yang Dong (IEEE Trans. Smart Grid, 2019)

Super Resolution Perception for Smart Meter Data. - Guolong Liu; Jinjin Gu; Junhua Zhao 001; Fushuan Wen; Gaoqi Liang (Inf. Sci., 2020)

Cooperative Wind Farm Control With Deep Reinforcement Learning and Knowledge-Assisted Learning. - Huan Zhao 004; Junhua Zhao 001; Jing Qiu 001; Gaoqi Liang; Zhao Yang Dong (IEEE Trans. Ind. Informatics, 2020)

Personalized Residential Energy Usage Recommendation System Based on Load Monitoring and Collaborative Filtering. - Fengji Luo; Gianluca Ranzi; Weicong Kong; Gaoqi Liang; Zhao Yang Dong (IEEE Trans. Ind. Informatics, 2021)

Data-Driven Risk Preference Analysis in Day-Ahead Electricity Market. - Huan Zhao 004; Junhua Zhao 001; Jing Qiu 001; Gaoqi Liang; Fushuan Wen; Yusheng Xue; Zhao Yang Dong (IEEE Trans. Smart Grid, 2021)

Integrated optimization algorithm: A metaheuristic approach for complicated optimization. - Chen Li 040; Guo Chen 002; Gaoqi Liang; Fengji Luo; Junhua Zhao 001; Zhao Yang Dong (Inf. Sci., 2022)

AI-enabled image fraud in scientific publications. - Jinjin Gu; Xinlei Wang; Chenang Li; Junhua Zhao 001; Weijin Fu; Gaoqi Liang; Jing Qiu 001 (Patterns, 2022)

An Inertia-Based Data Recovery Scheme for False Data Injection Attack. - Jiaqi Ruan; Gaoqi Liang; Junhua Zhao 001; Jing Qiu 001; Zhao Yang Dong (IEEE Trans. Ind. Informatics, 2022)

False Data Injection- and Propagation-Aware Game Theoretical Approach for Microgrids. - Jichao Bi; Fengji Luo; Shibo He; Gaoqi Liang; Wenchao Meng; Mingyang Sun (IEEE Trans. Smart Grid, 2022)

Applying Large Language Models to Power Systems: Potential Security Threats. - Jiaqi Ruan; Gaoqi Liang; Huan Zhao 004; Guolong Liu; Jing Qiu 001; Junhua Zhao 001; Zhao Xu 002; Fushuan Wen; Zhao Yang Dong (CoRR, 2023)

Impact Assessment and Defense for Smart Grids With FDIA Against AMI. - Jichao Bi; Fengji Luo; Gaoqi Liang; Xiaofan Yang; Shibo He; Zhao Yang Dong (IEEE Trans. Netw. Sci. Eng., 2023)

Super-Resolution Perception Assisted Spatiotemporal Graph Deep Learning Against False Data Injection Attacks in Smart Grid. - Jiaqi Ruan; Gang Fan; Yifan Zhu; Gaoqi Liang; Junhua Zhao 001; Fushuan Wen; Zhao Yang Dong (IEEE Trans. Smart Grid, 2023)

Graph Deep-Learning-Based Retail Dynamic Pricing for Demand Response. - Jiaqi Ruan; Gaoqi Liang; Junhua Zhao 001; Shunbo Lei; Binghao He; Jing Qiu 001; Zhao Yang Dong (IEEE Trans. Smart Grid, 2023)

Framework of Resilient Transmission Network Reconfiguration Considering Cyber-Attacks. - Chao Yang; Gaoqi Liang; Steven R. Weller; Shaoyan Li; Junhua Zhao 001; Zhaoyang Dong (CoRR, 2024)

Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods. - Yuji Cao; Huan Zhao 004; Yuheng Cheng; Ting Shu; Guolong Liu; Gaoqi Liang; Junhua Zhao 001; Yun Li 002 (CoRR, 2024)

ElecBench: a Power Dispatch Evaluation Benchmark for Large Language Models. - Xiyuan Zhou; Huan Zhao 004; Yuheng Cheng; Yuji Cao; Gaoqi Liang; Guolong Liu; Junhua Zhao 001 (CoRR, 2024)

Coordinated Power Smoothing Control for Wind Storage Integrated System with Physics-informed Deep Reinforcement Learning. - Shuyi Wang; Huan Zhao 004; Yuji Cao; Zibin Pan; Guolong Liu; Gaoqi Liang; Junhua Zhao 001 (CoRR, 2024)

On Vulnerability of Renewable Energy Forecasting: Adversarial Learning Attacks. - Jiaqi Ruan; Qihan Wang; Sicheng Chen; Hanrui Lyu; Gaoqi Liang; Junhua Zhao 001; Zhao Yang Dong (IEEE Trans. Ind. Informatics, 2024)

Applying Large Language Models to Power Systems: Potential Security Threats. - Jiaqi Ruan; Gaoqi Liang; Huan Zhao 004; Guolong Liu; Xianzhuo Sun; Jing Qiu 001; Zhao Xu 002; Fushuan Wen; Zhao Yang Dong (IEEE Trans. Smart Grid, 2024)

Privacy-Preserving Bi-Level Optimization of Internet Data Centers for Electricity-Carbon Collaborative Demand Response. - Jiaqi Ruan; Yifan Zhu; Yuji Cao; Xianzhuo Sun; Shunbo Lei; Gaoqi Liang; Jing Qiu 001; Zhao Xu 002 (IEEE Internet Things J., 2024)

Risk-Sensitive Mobile Battery Energy Storage System Control With Deep Reinforcement Learning and Hybrid Risk Estimation Method. - Zifan Liu; Huan Zhao 004; Guolong Liu; Gaoqi Liang; Junhua Zhao 001; Jing Qiu 001 (IEEE Trans. Smart Grid, 2024)

Robust Universal Adversarial Perturbation Attacks on Renewable Energy Forecasting. - Jiaqi Ruan; Liliang Wang; Shi Chen 009; Tianlei Zang; Yiwei Qiu; Gaoqi Liang; Buxiang Zhou (IEEE Internet Things J., 2025)

Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods. - Yuji Cao; Huan Zhao 004; Yuheng Cheng; Ting Shu; Yue Chen; Guolong Liu; Gaoqi Liang; Junhua Zhao 001; Jinyue Yan; Yun Li 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)