Huaiguang Jiang

发表

Time-frequency analysis of brain electrical Signals for behvior recognition in patients with Parkinson's disease

Mohammad H. Mahoor, Jun Jason Zhang, Huaiguang Jiang, 2013, 2013 Asilomar Conference on Signals, Systems and Computers.

PMU-aided voltage security assessment for a wind power plant

Eduard Muljadi, Yingchen Zhang, Jun Jason Zhang, 2015, 2015 IEEE Power & Energy Society General Meeting.

Big Data-Based Approach to Detect, Locate, and Enhance the Stability of an Unplanned Microgrid Islanding

Yan Li, Yingchen Zhang, Jun Jason Zhang, 2017 .

Statistical scheduling of economic dispatch and energy reserves of hybrid power systems with high renewable energy penetration

Yi Gu, Yingchen Zhang, Huaiguang Jiang, 2014, 2014 48th Asilomar Conference on Signals, Systems and Computers.

Automatic distribution network reconfiguration: An event-driven approach

Huaiguang Jiang, Fei Ding, Jin Tan, 2016, 2016 IEEE Power and Energy Society General Meeting (PESGM).

Short-Term Load Forecasting Based Automatic Distribution Network Reconfiguration: Preprint

Yingchen Zhang, Fei Ding, Huaiguang Jiang, 2017 .

Transferable Reinforcement Learning for Smart Homes

Xin Jin, Huaiguang Jiang, Xiangyu Zhang, 2020 .

Synchrophasor-Based Auxiliary Controller to Enhance the Voltage Stability of a Distribution System With High Renewable Energy Penetration

Eduard Muljadi, Yingchen Zhang, Jun Jason Zhang, 2015, IEEE Transactions on Smart Grid.

Knowledge discovery for smart grid operation, control, and situation awareness — a big data visualization platform

Eduard Muljadi, Yingchen Zhang, Jun Jason Zhang, 2016, 2016 North American Power Symposium (NAPS).

Short-term state forecasting-based optimal voltage regulation in distribution systems

Rui Yang, Yingchen Zhang, Huaiguang Jiang, 2017, 2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT).

Automated optimal control in energy systems: the reinforcement learning approach

Huaiguang Jiang, Xiangyu Zhang, 2021 .

Solar Irradiance Capturing in Cloudy Sky Days–A Convolutional Neural Network Based Image Regression Approach

Rui Yang, Yingchen Zhang, Huaiguang Jiang, 2020, IEEE Access.

Decentralized wind uncertainty management: Alternating direction method of multipliers based distributionally-robust chance constrained optimal power flow

Bri-Mathias Hodge, Yingchen Zhang, Xin Fang, 2019, Applied Energy.

Consumption Behavior Analytics-Aided Energy Forecasting and Dispatch

Rui Yang, Yingchen Zhang, Jun Jason Zhang, 2017, IEEE Intelligent Systems.

An overview of recent advances on distributed and agile sensing algorithms and implementation

Ying Li, Jun Jason Zhang, Antonia Papandreou-Suppappola, 2015, Digit. Signal Process..

Chance-constrained day-ahead hourly scheduling in distribution system operation

Eduard Muljadi, Yi Gu, Yingchen Zhang, 2017, 2017 51st Asilomar Conference on Signals, Systems, and Computers.

Multi-Timescale Three-Phase Unbalanced Distribution System Operation With Variable Renewable Generations

Eduard Muljadi, Yingchen Zhang, Huaiguang Jiang, 2019, IEEE Transactions on Smart Grid.

Load forecasting based distribution system network reconfiguration — A distributed data-driven approach

Eduard Muljadi, Yi Gu, Yingchen Zhang, 2017, 2017 51st Asilomar Conference on Signals, Systems, and Computers.

Synchrophasor based auxiliary controller to enhance power system transient voltage stability in a high penetration renewable energy scenario

Eduard Muljadi, Yingchen Zhang, Jun Jason Zhang, 2014, 2014 IEEE Symposium on Power Electronics and Machines for Wind and Water Applications.

Power-Traffic Coordinated Operation for Bi-Peak Shaving and Bi-Ramp Smoothing -A Hierarchical Data-Driven Approach pdf

Yingchen Zhang, Huaiguang Jiang, Changhong Zhao, 2017, Applied Energy.

A generalized computational framework to streamline thermodynamics and kinetics analysis of metabolic pathways.

Wei Xiong, Huaiguang Jiang, PinChing Maness, 2019, Metabolic engineering.

Fault localization in Smart Grid using wavelet analysis and unsupervised learning

Jun Jason Zhang, Huaiguang Jiang, David Wenzhong Gao, 2012, 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

Short-term load forecasting based automatic distribution network reconfiguration

Yingchen Zhang, Huaiguang Jiang, Fei Ding, 2017, 2017 IEEE Power & Energy Society General Meeting.

Spatial-temporal characterization of synchrophasor measurement systems — A big data approach for smart grid system situational awareness

Lei Huang, Yingchen Zhang, Jun Jason Zhang, 2014, 2014 48th Asilomar Conference on Signals, Systems and Computers.

Synchrophasor Sensing and Processing based Smart Grid Security Assessment for Renewable Energy Integration

Huaiguang Jiang, Huaiguang Jiang, 2015 .

A Review on Artificial Intelligence for Grid Stability Assessment

Yingchen Zhang, Huaiguang Jiang, Yi Cui, 2020, 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm).

A Short-Term and High-Resolution Distribution System Load Forecasting Approach Using Support Vector Regression With Hybrid Parameters Optimization

Eduard Muljadi, Yingchen Zhang, Jun Jason Zhang, 2018, IEEE Transactions on Smart Grid.

Short-term distribution system state forecast based on optimal synchrophasor sensor placement and extreme learning machine

Yingchen Zhang, Huaiguang Jiang, Huaiguang Jiang, 2016, 2016 IEEE Power and Energy Society General Meeting (PESGM).

Spatial-Temporal Synchrophasor Data Characterization and Analytics in Smart Grid Fault Detection, Identification, and Impact Causal Analysis

Eduard Muljadi, Yingchen Zhang, Jun Jason Zhang, 2016, IEEE Transactions on Smart Grid.

Fault Detection, Identification, and Location in Smart Grid Based on Data-Driven Computational Methods

Jun Jason Zhang, Huaiguang Jiang, David Wenzhong Gao, 2014, IEEE Transactions on Smart Grid.

Optimal Power Scheduling for a Medium Voltage AC/DC Hybrid Distribution Network

Jun Jason Zhang, Huaiguang Jiang, Dichen Liu, 2018 .