Jie Zhang

According to our database, Jie Zhang authored at least 37 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Generative AI-Enhanced Real-Time Anomaly Detection in Integrated Energy Systems.

Sobhan Badakhshan, Jie Zhang

IEEE Trans. Smart Grid, March, 2026

Reinforcement Learning for Vehicle-to-Grid Voltage Regulation: Single-Hub to Multi-Hub Coordination with Battery-Aware Constraints.

Jingbo Wang, Roshni Anna Jacob, Harshal D. Kaushik, Jie Zhang

CoRR, March, 2026

Topology-Aware Reinforcement Learning over Graphs for Resilient Power Distribution Networks.

Roshni Anna Jacob, Prithvi Poddar, Jaidev Goel, Souma Chowdhury, Yulia R. Gel, Jie Zhang

CoRR, March, 2026

2025

Electric Vehicle Charger Infrastructure Planning: Demand Estimation, Coverage Optimization Over an Integrated Power Grid.

Harshal D. Kaushik, Jingbo Wang, Roshni Anna Jacob, Jie Zhang

CoRR, September, 2025

Learning-aided Bigraph Matching Approach to Multi-Crew Restoration of Damaged Power Networks Coupled with Road Transportation Networks.

Nathan Maurer, Harshal Kaushik, Roshni Anna Jacob, Jie Zhang, Souma Chowdhury

CoRR, June, 2025

Medium Voltage Direct Current Shipboard Power Network Reconfiguration Using Graph-Based Reinforcement Learning.

Soroush Senemmar, Roshni Anna Jacob, Jie Zhang

J. Comput. Inf. Sci. Eng., 2025

Topological Robust Reinforcement Learning.

Jaidev Goel, Roshni Anna Jacob, Jie Zhang, Yulia R. Gel

Proceedings of the IEEE International Conference on Big Data, 2025

2024

Black Start of Coastline Power Networks From Grid-Forming Ship-to-Grid Services.

Sobhan Badakhshan, Jubeyer Rahman, Jie Zhang

IEEE Trans. Smart Grid, 2024

Optimal Planning of Electric Vehicle Charging Stations: Integrating Public Charging Networks and Transportation Congestion.

Jingbo Wang, Harshal D. Kaushik, Jie Zhang

CoRR, 2024

2023

Spectral Graph Clustering for Intentional Islanding Operations in Resilient Hybrid Energy Systems.

Jiaxin Wu, Xin Chen, Sobhan Badakhshan, Jie Zhang, Pingfeng Wang

IEEE Trans. Ind. Informatics, April, 2023

2022

Short-term load forecasting data with hierarchical advanced metering infrastructure and weather features.

Jie Zhang, Cong Feng

Dataset, May, 2022

An Occupancy-Informed Customized Price Design for Consumers: A Stackelberg Game Approach.

Li He, Yuanzhi Liu, Jie Zhang

IEEE Trans. Smart Grid, 2022

Hierarchical Microenergy Hub Sizing and Placement in Integrated Electricity and Natural Gas Distribution Systems.

Seyed Abbas Seifossadat, Mohammad Rastegar, Mohammad Mohammadi, Soroush Senemmar, Jie Zhang

IEEE Syst. J., 2022

2021

A Community Sharing Market With PV and Energy Storage: An Adaptive Bidding-Based Double-Side Auction Mechanism.

Li He, Jie Zhang

IEEE Trans. Smart Grid, 2021

Deep Learning-Based Real-Time Switching of Hybrid AC/DC Transmission Networks.

Morteza Dabbaghjamanesh, Amirhossein Moeini, Nikos D. Hatziargyriou, Jie Zhang

IEEE Trans. Smart Grid, 2021

Stochastic Modeling and Integration of Plug-In Hybrid Electric Vehicles in Reconfigurable Microgrids With Deep Learning-Based Forecasting.

Morteza Dabbaghjamanesh, Abdollah Kavousi-Fard, Jie Zhang

IEEE Trans. Intell. Transp. Syst., 2021

Defect Prediction of Relay Protection Systems Based on LSSVM-BNDT.

Yongtian Jia, Liming Ying, Donghui Wang, Jie Zhang

IEEE Trans. Ind. Informatics, 2021

Resilient Distribution Networks Considering Mobile Marine Microgrids: A Synergistic Network Approach.

Morteza Dabbaghjamanesh, Soroush Senemmar, Jie Zhang

IEEE Trans. Ind. Informatics, 2021

Blockchain-Based Stochastic Energy Management of Interconnected Microgrids Considering Incentive Price.

Morteza Dabbaghjamanesh, Boyu Wang, Abdollah Kavousi-Fard, Nikos D. Hatziargyriou, Jie Zhang

IEEE Trans. Control. Netw. Syst., 2021

2020

Reinforced Deterministic and Probabilistic Load Forecasting via $Q$ -Learning Dynamic Model Selection.

Cong Feng, Mucun Sun, Jie Zhang

IEEE Trans. Smart Grid, 2020

Deep Learning-Based Real-Time Building Occupancy Detection Using AMI Data.

Cong Feng, Ali Mehmani, Jie Zhang

IEEE Trans. Smart Grid, 2020

Sensitivity Analysis of Renewable Energy Integration on Stochastic Energy Management of Automated Reconfigurable Hybrid AC-DC Microgrid Considering DLR Security Constraint.

Morteza Dabbaghjamanesh, Abdollah Kavousi-Fard, Shahab Mehraeen, Jie Zhang, Zhao Yang Dong

IEEE Trans. Ind. Informatics, 2020

Factoring Behind-the-Meter Solar into Load Forecasting: Case Studies under Extreme Weather.

Mucun Sun, Cong Feng, Jie Zhang

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

A Copula Enhanced Convolution for Uncertainty Aggregation.

Binghui Li, Jie Zhang, Benjamin F. Hobbs

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

SolarNet: A Deep Convolutional Neural Network for Solar Forecasting via Sky Images.

Cong Feng, Jie Zhang

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

Deep Learning-based Real-time Switching of Reconfigurable Microgrids.

Morteza Dabbaghjamanesh, Jie Zhang

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

2019

A Data-Driven Methodology for Probabilistic Wind Power Ramp Forecasting.

Mingjian Cui, Jie Zhang, Qin Wang, Venkat Krishnan, Bri-Mathias S. Hodge

IEEE Trans. Smart Grid, 2019

A Copula-Based Conditional Probabilistic Forecast Model for Wind Power Ramps.

Mingjian Cui, Venkat Krishnan, Bri-Mathias S. Hodge, Jie Zhang

IEEE Trans. Smart Grid, 2019

Analyze the Break-even Cost of Lithium-ion Battery under Time-of-use Pricing Tariffs.

Binghui Li, Jie Zhang, Ali Mehmani, Patricia J. Culligan

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2019

Reinforcement Learning based Dynamic Model Selection for Short-Term Load Forecasting.

Cong Feng, Jie Zhang

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2019

Assessing the Resilience of the Texas Power Grid Network.

Dorcas Ofori-Boateng, Asim Kumer Dey, Yulia R. Gel, Binghui Li, Jie Zhang, H. Vincent Poor

Proceedings of the IEEE Data Science Workshop, 2019

2018

A Methodology for Quantifying Reliability Benefits From Improved Solar Power Forecasting in Multi-Timescale Power System Operations.

Mingjian Cui, Jie Zhang, Bri-Mathias S. Hodge, Siyuan Lu, Hendrik F. Hamann

IEEE Trans. Smart Grid, 2018

An Unsupervised Clustering-Based Short-Term Solar Forecasting Methodology Using Multi-Model Machine Learning Blending.

Cong Feng, Mingjian Cui, Bri-Mathias S. Hodge, Siyuan Lu, Hendrik F. Hamann, Jie Zhang

CoRR, 2018

Hourly-Similarity Based Solar Forecasting Using Multi-Model Machine Learning Blending.

Cong Feng, Jie Zhang

CoRR, 2018

2017

CompSim: Cross sectional modeling of geometrical complex and inhomogeneous slender structures.

Turaj Ashuri, Jie Zhang

SoftwareX, 2017

Characterizing Time Series Data Diversity for Wind Forecasting.

Cong Feng, Erol Kevin Chartan, Bri-Mathias S. Hodge, Jie Zhang

Proceedings of the Fourth IEEE/ACM International Conference on Big Data Computing, 2017

2015

Machine learning based multi-physical-model blending for enhancing renewable energy forecast - improvement via situation dependent error correction.

Siyuan Lu, Youngdeok Hwang, Ildar Khabibrakhmanov, Fernando J. Marianno, Xiaoyan Shao, Jie Zhang, Bri-Mathias S. Hodge, Hendrik F. Hamann

Proceedings of the 14th European Control Conference, 2015