Huan Zhao

According to our database, Huan Zhao authored at least 19 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Machine learning-based spatial downscaling and bias-correction framework for high-resolution temperature forecasting.

Xiangrui Meng, Huan Zhao, Ting Shu, Junhua Zhao, Qilin Wan

Appl. Intell., September, 2024

Risk-Sensitive Mobile Battery Energy Storage System Control With Deep Reinforcement Learning and Hybrid Risk Estimation Method.

Zifan Liu, Huan Zhao, Guolong Liu, Gaoqi Liang, Junhua Zhao, Jing Qiu

IEEE Trans. Smart Grid, July, 2024

Applying Large Language Models to Power Systems: Potential Security Threats.

Jiaqi Ruan, Gaoqi Liang, Huan Zhao, Guolong Liu, Xianzhuo Sun, Jing Qiu, Zhao Xu, Fushuan Wen, Zhao Yang Dong

IEEE Trans. Smart Grid, May, 2024

Real-time industrial carbon emission estimation with deep learning-based device recognition and incomplete smart meter data.

Jinjie Liu, Guolong Liu, Huan Zhao, Junhua Zhao, Jing Qiu, Zhao Yang Dong

Eng. Appl. Artif. Intell., January, 2024

Free lunch for federated remote sensing target fine-grained classification: A parameter-efficient framework.

Shengchao Chen, Ting Shu, Huan Zhao, Jiahao Wang, Sufen Ren, Lina Yang

Knowl. Based Syst., 2024

GAIA - A Large Language Model for Advanced Power Dispatch.

Yuheng Cheng, Huan Zhao, Xiyuan Zhou, Junhua Zhao, Yuji Cao, Chao Yang

CoRR, 2024

ElecBench: a Power Dispatch Evaluation Benchmark for Large Language Models.

Xiyuan Zhou, Huan Zhao, Yuheng Cheng, Yuji Cao, Gaoqi Liang, Guolong Liu, Junhua Zhao

CoRR, 2024

Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods.

Yuji Cao, Huan Zhao, Yuheng Cheng, Ting Shu, Guolong Liu, Gaoqi Liang, Junhua Zhao, Yun Li

CoRR, 2024

Power System Fault Diagnosis with Quantum Computing and Efficient Gate Decomposition.

Xiang Fei, Huan Zhao, Xiyuan Zhou, Junhua Zhao, Ting Shu, Fushuan Wen

CoRR, 2024

2023

Linear-layer-enhanced quantum long short-term memory for carbon price forecasting.

Yuji Cao, Xiyuan Zhou, Xiang Fei, Huan Zhao, Wenxuan Liu, Junhua Zhao

Quantum Mach. Intell., December, 2023

MASK-CNN-Transformer for real-time multi-label weather recognition.

Shengchao Chen, Ting Shu, Huan Zhao, Yuan Yan Tang

Knowl. Based Syst., October, 2023

A Double-Chain Blockchain With Economic Attributes and Network Constraints of Prosumer Transactions.

Hongming Yang, Zefeng Yang, Sheng Xiang, Huan Zhao, Emmanuel Ackom

IEEE Trans. Ind. Informatics, March, 2023

TempEE: Temporal-Spatial Parallel Transformer for Radar Echo Extrapolation Beyond Autoregression.

Shengchao Chen, Ting Shu, Huan Zhao, Guo Zhong, Xunlai Chen

IEEE Trans. Geosci. Remote. Sens., 2023

Applying Large Language Models to Power Systems: Potential Security Threats.

Jiaqi Ruan, Gaoqi Liang, Huan Zhao, Guolong Liu, Jing Qiu, Junhua Zhao, Zhao Xu, Fushuan Wen, Zhao Yang Dong

CoRR, 2023

TempEE: Temporal-Spatial Parallel Transformer for Radar Echo Extrapolation Beyond Auto-Regression.

Shengchao Chen, Ting Shu, Huan Zhao, Guo Zhong, Xunlai Chen

CoRR, 2023

2022

Dynamic Multiscale Fusion Generative Adversarial Network for Radar Image Extrapolation.

Shengchao Chen, Ting Shu, Huan Zhao, Qilin Wan, Jincan Huang, Cailing Li

IEEE Trans. Geosci. Remote. Sens., 2022

2021

Data-Driven Risk Preference Analysis in Day-Ahead Electricity Market.

Huan Zhao, Junhua Zhao, Jing Qiu, Gaoqi Liang, Fushuan Wen, Yusheng Xue, Zhao Yang Dong

IEEE Trans. Smart Grid, 2021

2020

A Hybrid Method for Electric Spring Control Based on Data and Knowledge Integration.

Huan Zhao, Junhua Zhao, Yu Zheng, Jing Qiu, Fushuan Wen

IEEE Trans. Smart Grid, 2020

Cooperative Wind Farm Control With Deep Reinforcement Learning and Knowledge-Assisted Learning.

Huan Zhao, Junhua Zhao, Jing Qiu, Gaoqi Liang, Zhao Yang Dong

IEEE Trans. Ind. Informatics, 2020