金朝阳｜山东大学｜学者主页

期刊论文

2026

Machine learning-based state estimation in electrical power and multi-energy systems: A comprehensive review

Zhaoyang Jin, Dragan Ćetenović, Mile Mitrovic, Victor A. Levi, Vladimir Bečejac, Phil Taylor, Vladimir V. Terzija

Renewable and Sustainable Energy Reviews

DOI

2025

Frequency Control of Multi-Area Power Systems Based on State Estimation and Model Predictive Control

Yajie Liu, Yang Zhang, Zhaoyang Jin

International Conference on Energy, Electrical and Power Engineering (CEEPE)

DOI

2024

基于支持向量机的电力系统状态估计多类型数据异常检测

郭嘉辉，侯月婷，丁磊，金朝阳

《国外电子测量技术》

2024

A robust distribution network state estimation method based on enhanced clustering Algorithm: Accounting for multiple DG output modes and data loss

Yue Yu, Zhaoyang Jin, Dragan Ćetenović, Lei Ding, Victor A. Levi, Vladimir V. Terzija

International Journal of Electrical Power & Energy Systems

DOI

2023

A Dynamic State Estimation Method Based on Robust Cubature Kalman Filter and Super Phasor Measurement Units

Yajie Liu, Zhaoyang Jin, Lei Ding

IEEE International Conference on Advanced Power System Automation and Protection (APAP)

DOI

2023

A Robust Machine Learning-Aided State Estimator for Distribution Network Based on Transformer-EKF

Mohamed Magdi Salih Alfaki, Lei Ding, Zhaoyang Jin

International Conference on Power System Technology (POWERCON)

DOI

2023

A Forecasting-Aided State Estimator Based on Bi-LSTM with Transfer Learning Against Distribution Generation Output Uncertainty

Guo Jiahui, Yueting Hou, Zhaoyang Jin, Lei Ding

International Conference on Power System Technology (POWERCON)

DOI

2023

A Forecasting-Aided State Estimator Based on Improved Bayesian Deep LSTM Neural Network

Yue Wang, Yue Yu, Zhaoyang Jin, Lei Ding, Vladimir V. Terzija, Dragan Ćetenović

International Conference on Power System Technology (POWERCON)

DOI

2023

Optimal Extreme Random Forest Ensemble for Active Distribution Network Forecasting-Aided State Estimation Based on Maximum Average Energy Concentration VMD State Decomposition

Yue Yu, Jiahui Guo, Zhaoyang Jin

Energies

DOI

2022

Optimal PMU Placement in the Presence of Conventional Measurements

Zhaoyang Jin, Yueting Hou, Yue Yu, Lei Ding

International Transactions on Electrical Energy Systems

DOI

2021

Power system anomaly detection using innovation reduction properties of iterated extended kalman filter

Zhaoyang Jin, Junbo Zhao, Lei Ding, Saikat Chakrabarti, Elena N. Gryazina, Vladimir V. Terzija

International Journal of Electrical Power & Energy Systems

DOI

2021

An adaptive method for tuning process noise covariance matrix in EKF-based three-phase distribution system state estimation

Dragan Ćetenović, Aleksandar Ranković, Junbo Zhao, Zhaoyang Jin, Jianzhong Wu, Vladimir V. Terzija

International Journal of Electrical Power & Energy Systems

DOI

2021

A distribution network state estimation method based on distribution generation output mode discrimination

Zhaoyang Jin, Deyu Cai, Chen Wang, Lei Ding

International Transactions on Electrical Energy Systems

DOI

2021

An improved algorithm for cubature Kalman filter based forecasting‐aided state estimation and anomaly detection

Zhaoyang Jin, Saikat Chakrabarti, James Yu, Lei Ding, Vladimir V. Terzija

International Transactions on Electrical Energy Systems

DOI

2020

A hybrid robust forecasting-aided state estimator considering bimodal Gaussian mixture measurement errors

Zhaoyang Jin, Junbo Zhao, Saikat Chakrabarti, Lei Ding, Vladimir V. Terzija

International Journal of Electrical Power & Energy Systems

DOI

2020

Author response for "An improved algorithm for cubature Kalman filter based forecasting‐aided state estimation and anomaly detection"

Zhaoyang Jin, S. Chakrabarti, James J. Q. Yu, Lei Ding, V. Terzija

DOI

2019

Analysis of Hybrid State Estimators: Accuracy and Convergence of Estimator Formulations

Zhaoyang Jin, Peter Wall, Yushou Chen, James J. Q. Yu, S. Chakrabarti, V. Terzija

IEEE Transactions on Power Systems

DOI

2018

Static and dynamic state estimation of power systems

Zhaoyang Jin

2017

A Screening Rule-Based Iterative Numerical Method for Observability Analysis

Zhaoyang Jin, Papiya Dattaray, Peter Wall, James J. Q. Yu, V. Terzija

IEEE Transactions on Power Systems

DOI

预印本

2024

Robust Forecasting-Aided State Estimation Method of Distribution Network Based on Res-Autoformer and Unscented Particle Filter

Guo Jiahui, Yue Yu, Yue Wang, Zhaoyang Jin

SSRN Electronic Journal

DOI

金朝阳

精选作品

期刊论文

Machine learning-based state estimation in electrical power and multi-energy systems: A comprehensive review

Frequency Control of Multi-Area Power Systems Based on State Estimation and Model Predictive Control

基于支持向量机的电力系统状态估计多类型数据异常检测

A robust distribution network state estimation method based on enhanced clustering Algorithm: Accounting for multiple DG output modes and data loss

A Dynamic State Estimation Method Based on Robust Cubature Kalman Filter and Super Phasor Measurement Units

A Robust Machine Learning-Aided State Estimator for Distribution Network Based on Transformer-EKF

A Forecasting-Aided State Estimator Based on Bi-LSTM with Transfer Learning Against Distribution Generation Output Uncertainty

A Forecasting-Aided State Estimator Based on Improved Bayesian Deep LSTM Neural Network

Optimal Extreme Random Forest Ensemble for Active Distribution Network Forecasting-Aided State Estimation Based on Maximum Average Energy Concentration VMD State Decomposition

Optimal PMU Placement in the Presence of Conventional Measurements

Power system anomaly detection using innovation reduction properties of iterated extended kalman filter

An adaptive method for tuning process noise covariance matrix in EKF-based three-phase distribution system state estimation

A distribution network state estimation method based on distribution generation output mode discrimination

An improved algorithm for cubature Kalman filter based forecasting‐aided state estimation and anomaly detection

A hybrid robust forecasting-aided state estimator considering bimodal Gaussian mixture measurement errors

Author response for "An improved algorithm for cubature Kalman filter based forecasting‐aided state estimation and anomaly detection"

Analysis of Hybrid State Estimators: Accuracy and Convergence of Estimator Formulations

Static and dynamic state estimation of power systems

A Screening Rule-Based Iterative Numerical Method for Observability Analysis

预印本

Robust Forecasting-Aided State Estimation Method of Distribution Network Based on Res-Autoformer and Unscented Particle Filter

研究方向