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)

A Hybrid Method for Electric Spring Control Based on Data and Knowledge Integration. - Huan Zhao 004; Junhua Zhao 001; Yu Zheng 005; Jing Qiu 001; Fushuan Wen (IEEE Trans. Smart Grid, 2020)

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)

Dynamic Multiscale Fusion Generative Adversarial Network for Radar Image Extrapolation. - Shengchao Chen; Ting Shu; Huan Zhao 004; Qilin Wan; Jincan Huang; Cailing Li (IEEE Trans. Geosci. Remote. Sens., 2022)

TempEE: Temporal-Spatial Parallel Transformer for Radar Echo Extrapolation Beyond Auto-Regression. - Shengchao Chen; Ting Shu; Huan Zhao 004; Guo Zhong; Xunlai Chen (CoRR, 2023)

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)

TempEE: Temporal-Spatial Parallel Transformer for Radar Echo Extrapolation Beyond Autoregression. - Shengchao Chen; Ting Shu; Huan Zhao 004; Guo Zhong; Xunlai Chen (IEEE Trans. Geosci. Remote. Sens., 2023)

A Double-Chain Blockchain With Economic Attributes and Network Constraints of Prosumer Transactions. - Hongming Yang; Zefeng Yang; Sheng Xiang; Huan Zhao 004; Emmanuel Ackom (IEEE Trans. Ind. Informatics, 2023)

MASK-CNN-Transformer for real-time multi-label weather recognition. - Shengchao Chen; Ting Shu; Huan Zhao 004; Yuan Yan Tang (Knowl. Based Syst., 2023)

Linear-layer-enhanced quantum long short-term memory for carbon price forecasting. - Yuji Cao; Xiyuan Zhou; Xiang Fei; Huan Zhao 004; Wenxuan Liu; Junhua Zhao 001 (Quantum Mach. Intell., 2023)

Power System Fault Diagnosis with Quantum Computing and Efficient Gate Decomposition. - Xiang Fei; Huan Zhao 004; Xiyuan Zhou; Junhua Zhao 001; Ting Shu; Fushuan Wen (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)

GAIA - A Large Language Model for Advanced Power Dispatch. - Yuheng Cheng; Huan Zhao 004; Xiyuan Zhou; Junhua Zhao 001; Yuji Cao; Chao Yang (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)

Free lunch for federated remote sensing target fine-grained classification: A parameter-efficient framework. - Shengchao Chen; Ting Shu; Huan Zhao 004; Jiahao Wang; Sufen Ren; Lina Yang (Knowl. Based Syst., 2024)

Real-time industrial carbon emission estimation with deep learning-based device recognition and incomplete smart meter data. - Jinjie Liu; Guolong Liu; Huan Zhao 004; Junhua Zhao 001; Jing Qiu 001; Zhao Yang Dong (Eng. Appl. Artif. Intell., 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)

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)

Machine learning-based spatial downscaling and bias-correction framework for high-resolution temperature forecasting. - Xiangrui Meng; Huan Zhao 004; Ting Shu; Junhua Zhao 001; Qilin Wan (Appl. Intell., 2024)

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)