廖文龙｜东南大学｜学者主页

期刊论文

2026

基于时序大模型的小样本风电功率预测

刘俊杰，廖文龙，张丞睿，姚贝妮，臧天磊，杨德昌，胡秦然

《电力建设》

2026

False Data Injection Attack Detection with Continual Learning

Wenlong Liao, Eleftherios O. Kontis, Takayuki Ishizaki, Seifeddine Ben Elghali, Kecheng He

DOI

2026

CE-Lag TCN: Cross-Energy Lag Enhanced TCN for Load Forecasting in Integrated Energy Systems

Wangxin Fang, Yao Zhou, Yixiong Jia, Wenlong Liao, Qian Xun

IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)

DOI

2026

Ensemble Learning-Based False Data Injection Attack Detection in Smart Grids

Weidong Yang, Eleftherios O. Kontis, Konstantinos F. Krommydas, Takayuki Ishizaki, Qian Xun, Wenlong Liao

DOI

2026

Electricity Theft Detection With Multi-Source Data: Integrating Electricity, Water, and Gas

Wenlong Liao, Rui-Jin Zhu, Yue Yang, Yi-Xiong Jia, Zhe Yang, Christian Rehtanz

IEEE transactions on industry applications

DOI

2025

Explainable Artificial Intelligence for Reactive Power Optimization of Distribution Networks

Wenlong Liao, B. Schäfer, Da-Lin Qin, Gonghao Zhang, Zhi-Xian Wang, Zhe Yang, De-Chang Yang

2025 IEEE International Symposium on the Application of Artificial Intelligence in Electrical Engineering (AAIEE)

DOI

2025

Short-Term Solar Power Forecasting with Large Language Model

Wenlong Liao, Yue Yang, Zhe Yang, Birgitte Bak-Jensen, Jiannong Fang, F. Porté-Agel

2025 IEEE Kiel PowerTech

DOI

2025

Protection Challenges and Solutions for AC Systems with Renewable Energy Sources: A Review

Zhe Yang, Hongyi Wang, Wenlong Liao, C. L. Bak, Zhe Chen

Protection and Control of Modern Power Systems

DOI

2025

Control-Based Distance Protection for Tie Line Between Offshore Wind Farms and MMC During Single-Phase Grounding and Interphase Faults

Zhe Yang, Hongyi Wang, Wenlong Liao, Zhe Chen

IEEE transactions on industrial electronics (1982. Print)

DOI

2024

Data-driven Reactive Power Optimization of Distribution Networks via Graph Attention Networks

Wenlong Liao, Dechang Yang, Qi Liu, Yixiong Jia, Chenxi Wang, Zhe Yang

Journal of Modern Power Systems and Clean Energy

2024

Robust Reactive Power Scheduling of Distribution Networks Based on Modified Bootstrap Technique

Wenlong Liao, Shouxiang Wang, Birgitte Bak-Jensen, Jayakrishnan Radhakrishna Pillai, Zhe Yang

Journal of Modern Power Systems and Clean Energy

2024

Zero and few shot load forecasting with large language models

Wenlong Liao, Cheng-Rui Zhang, Zhe Yang, Mengshuo Jia, C. Rehtanz, Jiannong Fang, Fernando Porté-Agel

International Journal of Electrical Power & Energy Systems

DOI

2024

TimeGPT in Load Forecasting: A Large Time Series Model Perspective

Wenlong Liao, F. Porté-Agel, Jiannong Fang, C. Rehtanz, Shou-Xiang Wang, Dechang Yang, Zhe Yang

Applied Energy

DOI

2024

Can we trust explainable artificial intelligence in wind power forecasting?

Wenlong Liao, Jiannong Fang, Lin Ye, Birgitte Bak-Jensen, Zhe Yang, F. Porté-Agel

Applied Energy

DOI

2024

Enhancing multivariate, multi-step residential load forecasting with spatiotemporal graph attention-enabled transformer

Peng-Fei Zhao, Wei-Hao Hu, Di Cao, Zhenyuan Zhang, Wenlong Liao, Zhe Chen, Qi Huang

International Journal of Electrical Power & Energy Systems

DOI

2023

Ultra-short-term Interval Prediction of Wind Power Based on Graph Neural Network and Improved Bootstrap Technique

Wenlong Liao, Shouxiang Wang, Birgitte Bak-Jensen, Jayakrishnan Radhakrishna Pillai, Zhe Yang, Kuangpu Liu

Journal of Modern Power Systems and Clean Energy

2022

基于隐式最大似然估计的风电出力场景生成

廖文龙，任翔，杨哲，杨文清，魏超

《电力自动化设备》

2022

基于生成矩匹配网络的光伏和风电随机场景生成

朱瑞金，廖文龙，王玥珑，王煜森，陈洁婧

《高电压技术》

2022

Data-driven Reactive Power Optimization for Distribution Networks Using Capsule Networks

Wenlong Liao, Jiejing Chen, Qi Liu, Ruijin Zhu, Like Song, Zhe Yang

Journal of Modern Power Systems and Clean Energy

2022

A Review of Graph Neural Networks and Their Applications in Power Systems

Wenlong Liao, Birgitte Bak-Jensen, Jayakrishnan Radhakrishna Pillai, Yuelong Wang, Yusen Wang

Journal of Modern Power Systems and Clean Energy

2022

Scenario Generation for Cooling,Heating,and Power Loads Using Generative Moment Matching Networks

Wenlong Liao, Yusen Wang, Yuelong Wang, Kody Powell, Qi Liu, Zhe Yang

CSEE Journal of Power and Energy Systems

2022

Scenario Generations for Renewable Energy Sources and Loads Based on Implicit Maximum Likelihood Estimations

Wenlong Liao, Birgitte Bak-Jensen, Jayakrishnan Radhakrishna Pillai, Zhe Yang, Yusen Wang, Kuangpu Liu

Journal of Modern Power Systems and Clean Energy

2022

Data-driven Missing Data Imputation for Wind Farms Using Context Encoder

Wenlong Liao, Birgitte Bak-Jensen, Jayakrishnan Radhakrishna Pillai, Dechang Yang, Yusen Wang

Journal of Modern Power Systems and Clean Energy

2021

考虑风电出力不确定性的配电网概率潮流计算

白洁，王守相，赵倩宇，廖文龙，赵海洲，张雷

《电力系统及其自动化学报》

2020

Robust Voltage Control Considering Uncertainties of Renewable Energies and Loads via Improved Generative Adversarial Network

Qianyu Zhao, Wenlong Liao, Shouxiang Wang, Jayakrishnan Radhakrishna Pillai

Journal of Modern Power Systems and Clean Energy

2019

Using Gated Recurrent Unit Network to Forecast Short-Term Load Considering Impact of Electricity Price

Wen-Yi Wu, Wenlong Liao, Jian Miao, Guo-Li Du

Energy Procedia

DOI

2018

Reactive Power Optimization of Distribution Network Based on Case-Based Reasoning

Wenlong Liao, Shou-Xiang Wang, Qi Liu, Shu Xin

IEEE Power & Energy Society General Meeting

DOI

预印本

2023

An Explainable Framework for Machine learning-Based Reactive Power Optimization of Distribution Network

Wenlong Liao, Benjamin Schäfer, Dalin Qin, Gonghao Zhang, Zhixian Wang, Zhe Yang

arXiv preprint

2023

Explainable Modeling for Wind Power Forecasting: A Glass-Box Approach with High Accuracy

Wenlong Liao, Fernando Porte-Agel, Jiannong Fang, Birgitte Bak-Jensen, Guangchun Ruan, Zhe Yang

arXiv preprint

2023

Improving the Accuracy and Interpretability of Neural Networks for Wind Power Forecasting

Wenlong Liao, Fernando Porte-Agel, Jiannong Fang, Birgitte Bak-Jensen, Zhe Yang, Gonghao Zhang

arXiv preprint

2021

Short-Term Power Prediction for Renewable Energy Using Hybrid Graph Convolutional Network and Long Short-Term Memory Approach

Wenlong Liao, Birgitte Bak-Jensen, Jayakrishnan Radhakrishna Pillai, Zhe Yang, Kuangpu Liu

arXiv preprint

廖文龙

精选作品

期刊论文

基于时序大模型的小样本风电功率预测

False Data Injection Attack Detection with Continual Learning

CE-Lag TCN: Cross-Energy Lag Enhanced TCN for Load Forecasting in Integrated Energy Systems

Ensemble Learning-Based False Data Injection Attack Detection in Smart Grids

Electricity Theft Detection With Multi-Source Data: Integrating Electricity, Water, and Gas

Explainable Artificial Intelligence for Reactive Power Optimization of Distribution Networks

Short-Term Solar Power Forecasting with Large Language Model

Protection Challenges and Solutions for AC Systems with Renewable Energy Sources: A Review

Control-Based Distance Protection for Tie Line Between Offshore Wind Farms and MMC During Single-Phase Grounding and Interphase Faults

Data-driven Reactive Power Optimization of Distribution Networks via Graph Attention Networks

Robust Reactive Power Scheduling of Distribution Networks Based on Modified Bootstrap Technique

Zero and few shot load forecasting with large language models

TimeGPT in Load Forecasting: A Large Time Series Model Perspective

Can we trust explainable artificial intelligence in wind power forecasting?

Enhancing multivariate, multi-step residential load forecasting with spatiotemporal graph attention-enabled transformer

Ultra-short-term Interval Prediction of Wind Power Based on Graph Neural Network and Improved Bootstrap Technique

基于隐式最大似然估计的风电出力场景生成

基于生成矩匹配网络的光伏和风电随机场景生成

Data-driven Reactive Power Optimization for Distribution Networks Using Capsule Networks

A Review of Graph Neural Networks and Their Applications in Power Systems

Scenario Generation for Cooling,Heating,and Power Loads Using Generative Moment Matching Networks

Scenario Generations for Renewable Energy Sources and Loads Based on Implicit Maximum Likelihood Estimations

Data-driven Missing Data Imputation for Wind Farms Using Context Encoder

考虑风电出力不确定性的配电网概率潮流计算

Robust Voltage Control Considering Uncertainties of Renewable Energies and Loads via Improved Generative Adversarial Network

Using Gated Recurrent Unit Network to Forecast Short-Term Load Considering Impact of Electricity Price

Reactive Power Optimization of Distribution Network Based on Case-Based Reasoning

预印本

An Explainable Framework for Machine learning-Based Reactive Power Optimization of Distribution Network

Explainable Modeling for Wind Power Forecasting: A Glass-Box Approach with High Accuracy

Improving the Accuracy and Interpretability of Neural Networks for Wind Power Forecasting

Short-Term Power Prediction for Renewable Energy Using Hybrid Graph Convolutional Network and Long Short-Term Memory Approach

研究方向