Xiaoming Liu - 论文、H指数与引用

刘

刘晓明 (Xiaoming Liu)

xi’an jiaotong university

13H指数

51论文数

575被引数

收录论文 14

发表时间

Distribution Network Expansion-Friendly Adaptive Deep Reinforcement Learning for Inverter-Based Volt-Var Control 配电网扩展友好自适应深度强化学习用于逆变器电压-无功控制

IEEE Transactions on Smart Grid

IF9.8

2025-07-01

PREAI

Yu Zhao; Jun Liu; Xiaoming Liu; Yongxin Nie; Tao Ding

Probabilistic bearing capacity analysis of square and rectangular footings on cohesive soil slopes considering three-dimensional rotational anisotropy

COMPUTERS AND GEOTECHNICS

IF6.2

2025-05-01

PREAI

Liu, Xiaoming; Jia, Qinji; Galindo, R. A.; Mao, Fengshan

Asynchronous Multi-Agent Reinforcement Learning-Based Framework for Bi-Level Noncooperative Game-Theoretic Demand Response

IEEE TRANSACTIONS ON SMART GRID

IF9.8

2024-11-01

PREAI

Nie, Yongxin; Liu, Jun; Liu, Xiaoming; Zhao, Yu; Ren, Kezheng; Chen, Chen

A Bayesian Deep Learning-Based Adaptive Wind Farm Power Prediction Method Within the Entire Life Cycle

ieee transactions on energy conversion

IF10

2024-10-01

PREAI

Liu, Xiaoming; Liu, Jun; Zhao, Yu; Nie, Yongxin; Liu, Jiacheng; Ding, Tao

Crystalline Oxygen-Modified Carbon Nitride Photocatalyst with Enhanced Internal Electric Field and Strong Resistance to Ionic Interference for Robust Seawater Splitting

ACS CATALYSIS

IF13.1

2024-08-31

PREAI

Zhang, Yang; Cao, Ning; Liu, Xiaoming; He, Fengting; Lu, Yangming; Wang, Shuling; Zhao, Chaocheng; Wang, Yongqiang; Zhang, Jinqiang; Wang, Shaobin

LDM: A Generic Data-Driven Large Distribution Network Operation Model

IEEE TRANSACTIONS ON SMART GRID

IF9.8

2024-07-01

PREAI

Zhao, Yu; Liu, Jun; Liu, Xiaoming; Nie, Yongxin; Liu, Jiacheng; Chen, Chen

A Bayesian Deep Learning-based Wind Power Prediction Model Considering the Whole Process of Blade Icing and De-icing 考虑叶片结冰和除冰全过程的基于贝叶斯深度学习的风电功率预测模型

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS

IF9.9

2024-07-01

PREAI

Liu, Xiaoming; Liu, Jun; Liu, Jiacheng; Zhao, Yu; Yang, Zhuwei; Ding, Tao

Discriminative Signal Recognition for Transient Stability Assessment via Discrete Mutual Information Approximation and Eigen Decomposition of Laplacian Matrix

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS

IF9.9

2024-04-01

PREAI

Liu, Jiacheng; Liu, Jun; Liu, Xiaoming; Liu, Xinglei; Zhao, Yu

Enhancing the Tolerance of Voltage Regulation to Cyber Contingencies via Graph-Based Deep Reinforcement Learning

IEEE TRANSACTIONS ON POWER SYSTEMS

IF7.2

2024-03-01

PREAI

Zhao, Yu; Liu, Jun; Liu, Xiaoming; Yuan, Keyu; Ding, Tao

A Bayesian Deep Learning-Based Probabilistic Risk Assessment and Early-Warning Model for Power Systems Considering Meteorological Conditions 基于贝叶斯深度学习的气象条件下电力系统概率风险评估预警模型

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS

IF9.9

2024-02-01

PREAI

Liu, Xiaoming; Liu, Jun; Zhao, Yu; Ding, Tao; Liu, Xinglei; Liu, Jiacheng

A Multiple Model Approach for Flood Forecasting, Simulation, and Evaluation Coupling in Zhouqu County

WATER

IF3

2023-12-11

OAAI

Li, Yongfeng; Liu, Yi; Liu, Xiaoming; Shen, Chao

Traffic Anomaly Prediction Based on Joint Static-Dynamic Spatio-Temporal Evolutionary Learning 基于静态-动态时空进化学习的交通异常预测

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

IF10.4

2023-05-01

OAAI

Liu, Xiaoming; Zhang, Zhanwei; Lyu, Lingjuan; Zhang, Zhaohan; Xiao, Shuai; Shen, Chao; Yu, Philip S.

An integrated fuzzy multi-energy transaction evaluation approach for energy internet markets considering judgement credibility and variable rough precision

ENERGY

IF9.4

2022-12-01

PREAI

Liu, Xinglei; Liu, Jun; Ren, Kezheng; Liu, Xiaoming; Liu, Jiacheng

Extreme Probabilistic Solar Power Prediction via Localized Sample Structure Recognition and Generalized Error Estimation 基于局部样本结构识别和广义误差估计的极端概率性太阳能功率预测

IEEE Transactions on Sustainable Energy

IF10

PREAI

Jiacheng Liu; Jun Liu; Xinglei Liu; Tao Ding; Guangyao Wang; Xiaoming Liu; Yu Zhao

研究方向

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

合作学者

合作期刊

Shaobin Wang

H 指数: 180 · 论文数: 1.2K

Philip S. Yu

H 指数: 166 · 论文数: 2.7K