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刘

刘晓明 (Xiaoming Liu)

xi’an jiaotong university

13H-index
51Paper Count
575Citation Count
Published Papers 14
Publication Date
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Distribution Network Expansion-Friendly Adaptive Deep Reinforcement Learning for Inverter-Based Volt-Var Control
errIEEE Transactions on Smart Grid
IF9.8
err2025-07-01
err0
PREAI
errYu Zhao; Jun Liu; Xiaoming Liu; Yongxin Nie; Tao Ding
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errSave
Probabilistic bearing capacity analysis of square and rectangular footings on cohesive soil slopes considering three-dimensional rotational anisotropy
errCOMPUTERS AND GEOTECHNICS
IF6.2
err2025-05-01
err0
PREAI
errLiu, Xiaoming; Jia, Qinji; Galindo, R. A.; Mao, Fengshan
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errSave
Asynchronous Multi-Agent Reinforcement Learning-Based Framework for Bi-Level Noncooperative Game-Theoretic Demand Response
errIEEE TRANSACTIONS ON SMART GRID
IF9.8
err2024-11-01
err0
PREAI
errNie, Yongxin; Liu, Jun; Liu, Xiaoming; Zhao, Yu; Ren, Kezheng; Chen, Chen
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errSave
A Bayesian Deep Learning-Based Adaptive Wind Farm Power Prediction Method Within the Entire Life Cycle
errieee transactions on energy conversion
IF10
err2024-10-01
err0
PREAI
errLiu, Xiaoming; Liu, Jun; Zhao, Yu; Nie, Yongxin; Liu, Jiacheng; Ding, Tao
errShare
errSave
Crystalline Oxygen-Modified Carbon Nitride Photocatalyst with Enhanced Internal Electric Field and Strong Resistance to Ionic Interference for Robust Seawater Splitting
errACS CATALYSIS
IF13.1
err2024-08-31
err1
PREAI
errZhang, Yang; Cao, Ning; Liu, Xiaoming; He, Fengting; Lu, Yangming; Wang, Shuling; Zhao, Chaocheng; Wang, Yongqiang; Zhang, Jinqiang; Wang, Shaobin
errShare
errSave
LDM: A Generic Data-Driven Large Distribution Network Operation Model
errIEEE TRANSACTIONS ON SMART GRID
IF9.8
err2024-07-01
err0
PREAI
errZhao, Yu; Liu, Jun; Liu, Xiaoming; Nie, Yongxin; Liu, Jiacheng; Chen, Chen
errShare
errSave
A Bayesian Deep Learning-based Wind Power Prediction Model Considering the Whole Process of Blade Icing and De-icing
errIEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
IF9.9
err2024-07-01
err2
PREAI
errLiu, Xiaoming; Liu, Jun; Liu, Jiacheng; Zhao, Yu; Yang, Zhuwei; Ding, Tao
errShare
errSave
Discriminative Signal Recognition for Transient Stability Assessment via Discrete Mutual Information Approximation and Eigen Decomposition of Laplacian Matrix
errIEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
IF9.9
err2024-04-01
err3
PREAI
errLiu, Jiacheng; Liu, Jun; Liu, Xiaoming; Liu, Xinglei; Zhao, Yu
errShare
errSave
Enhancing the Tolerance of Voltage Regulation to Cyber Contingencies via Graph-Based Deep Reinforcement Learning
errIEEE TRANSACTIONS ON POWER SYSTEMS
IF7.2
err2024-03-01
err3
PREAI
errZhao, Yu; Liu, Jun; Liu, Xiaoming; Yuan, Keyu; Ding, Tao
errShare
errSave
A Bayesian Deep Learning-Based Probabilistic Risk Assessment and Early-Warning Model for Power Systems Considering Meteorological Conditions
errIEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
IF9.9
err2024-02-01
err5
PREAI
errLiu, Xiaoming; Liu, Jun; Zhao, Yu; Ding, Tao; Liu, Xinglei; Liu, Jiacheng
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errSave
A Multiple Model Approach for Flood Forecasting, Simulation, and Evaluation Coupling in Zhouqu County
errWATER
IF3
err2023-12-11
err0
errOAAI
errLi, Yongfeng; Liu, Yi; Liu, Xiaoming; Shen, Chao
errShare
errSave
Traffic Anomaly Prediction Based on Joint Static-Dynamic Spatio-Temporal Evolutionary Learning
errIEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
IF10.4
err2023-05-01
err6
errOAAI
errLiu, Xiaoming; Zhang, Zhanwei; Lyu, Lingjuan; Zhang, Zhaohan; Xiao, Shuai; Shen, Chao; Yu, Philip S.
errShare
errSave
An integrated fuzzy multi-energy transaction evaluation approach for energy internet markets considering judgement credibility and variable rough precision
errENERGY
IF9.4
err2022-12-01
err11
PREAI
errLiu, Xinglei; Liu, Jun; Ren, Kezheng; Liu, Xiaoming; Liu, Jiacheng
errShare
errSave
Extreme Probabilistic Solar Power Prediction via Localized Sample Structure Recognition and Generalized Error Estimation
errIEEE Transactions on Sustainable Energy
IF10
err
err0
PREAI
errJiacheng Liu; Jun Liu; Xinglei Liu; Tao Ding; Guangyao Wang; Xiaoming Liu; Yu Zhao
errShare
errSave

Research Directions

电力系统风险评估基于贝叶斯深度学习的电力设备故障概率预测新能源出力概率预测电力系统母线电压概率预测线路负载率概率预测基于深度强化学习的电力系统调度与控制大模型在电力系统运行中的应用人工智能应用电力系统分析电力系统运行与控制大模型
Co-authors
Cooperation Journals
S
Shaobin Wang
H-index: 180 · Papers: 1.2K
P
Philip S. Yu
H-index: 166 · Papers: 2.7K
丁涛 cover
丁涛 (Tao Ding)
H-index: 60 · Papers: 715
张
张金强 (Jinqiang Zhang)
H-index: 44 · Papers: 139
L
Lingjuan Lyu
H-index: 37 · Papers: 239
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