Jie Zhang - RankMe

38 papers B 1C 1Journal 28Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generative AI-Enhanced Real-Time Anomaly Detection in Integrated Energy Systems. IEEE Trans. Smart Grid Sobhan Badakhshan, Jie Zhang
2026	J	`jnl`	Reinforcement Learning for Vehicle-to-Grid Voltage Regulation: Single-Hub to Multi-Hub Coordination with Battery-Aware Constraints. CoRR Jingbo Wang, Roshni Anna Jacob, Harshal D. Kaushik, Jie Zhang
2026	J	`jnl`	Topology-Aware Reinforcement Learning over Graphs for Resilient Power Distribution Networks. CoRR Roshni Anna Jacob, Prithvi Poddar, Jaidev Goel, Souma Chowdhury, Yulia R. Gel, Jie Zhang
2025	J	`jnl`	Electric Vehicle Charger Infrastructure Planning: Demand Estimation, Coverage Optimization Over an Integrated Power Grid. CoRR Harshal D. Kaushik, Jingbo Wang, Roshni Anna Jacob, Jie Zhang
2025	J	`jnl`	Learning-aided Bigraph Matching Approach to Multi-Crew Restoration of Damaged Power Networks Coupled with Road Transportation Networks. CoRR Nathan Maurer, Harshal Kaushik, Roshni Anna Jacob, Jie Zhang, Souma Chowdhury
2025	J	`jnl`	Medium Voltage Direct Current Shipboard Power Network Reconfiguration Using Graph-Based Reinforcement Learning. J. Comput. Inf. Sci. Eng. Soroush Senemmar, Roshni Anna Jacob, Jie Zhang
2025	B	`conf`	Topological Robust Reinforcement Learning. IEEE Big Data Jaidev Goel, Roshni Anna Jacob, Jie Zhang, Yulia R. Gel
2024	J	`jnl`	Black Start of Coastline Power Networks From Grid-Forming Ship-to-Grid Services. IEEE Trans. Smart Grid Sobhan Badakhshan, Jubeyer Rahman, Jie Zhang
2024	J	`jnl`	Optimal Planning of Electric Vehicle Charging Stations: Integrating Public Charging Networks and Transportation Congestion. CoRR Jingbo Wang, Harshal D. Kaushik, Jie Zhang
2023	J	`jnl`	Spectral Graph Clustering for Intentional Islanding Operations in Resilient Hybrid Energy Systems. IEEE Trans. Ind. Informatics Jiaxin Wu, Xin Chen, Sobhan Badakhshan, Jie Zhang, Pingfeng Wang
2022	J	`jnl`	An Occupancy-Informed Customized Price Design for Consumers: A Stackelberg Game Approach. IEEE Trans. Smart Grid Li He, Yuanzhi Liu, Jie Zhang
2022	J	`jnl`	Hierarchical Microenergy Hub Sizing and Placement in Integrated Electricity and Natural Gas Distribution Systems. IEEE Syst. J. Seyed Abbas Seifossadat, Mohammad Rastegar, Mohammad Mohammadi, Soroush Senemmar, Jie Zhang
2022	J	`jnl`	Spectral Graph Clustering for Intentional Islanding Operations in Resilient Hybrid Energy Systems. CoRR Jiaxin Wu, Xin Chen, Sobhan Badakhshan, Jie Zhang, Pingfeng Wang
2021	J	`jnl`	A Community Sharing Market With PV and Energy Storage: An Adaptive Bidding-Based Double-Side Auction Mechanism. IEEE Trans. Smart Grid Li He, Jie Zhang
2021	J	`jnl`	Blockchain-Based Stochastic Energy Management of Interconnected Microgrids Considering Incentive Price. IEEE Trans. Control. Netw. Syst. Morteza Dabbaghjamanesh, Boyu Wang, Abdollah Kavousi-Fard, Nikos D. Hatziargyriou, Jie Zhang
2021	J	`jnl`	Deep Learning-Based Real-Time Switching of Hybrid AC/DC Transmission Networks. IEEE Trans. Smart Grid Morteza Dabbaghjamanesh, Amirhossein Moeini, Nikos D. Hatziargyriou, Jie Zhang
2021	J	`jnl`	Defect Prediction of Relay Protection Systems Based on LSSVM-BNDT. IEEE Trans. Ind. Informatics Yongtian Jia, Liming Ying, Donghui Wang, Jie Zhang
2021	J	`jnl`	Resilient Distribution Networks Considering Mobile Marine Microgrids: A Synergistic Network Approach. IEEE Trans. Ind. Informatics Morteza Dabbaghjamanesh, Soroush Senemmar, Jie Zhang
2021	J	`jnl`	Stochastic Modeling and Integration of Plug-In Hybrid Electric Vehicles in Reconfigurable Microgrids With Deep Learning-Based Forecasting. IEEE Trans. Intell. Transp. Syst. Morteza Dabbaghjamanesh, Abdollah Kavousi-Fard, Jie Zhang
2020	—	`conf`	A Copula Enhanced Convolution for Uncertainty Aggregation. ISGT Binghui Li, Jie Zhang, Benjamin F. Hobbs
2020	J	`jnl`	Deep Learning-Based Real-Time Building Occupancy Detection Using AMI Data. IEEE Trans. Smart Grid Cong Feng, Ali Mehmani, Jie Zhang
2020	—	`conf`	Deep Learning-based Real-time Switching of Reconfigurable Microgrids. ISGT Morteza Dabbaghjamanesh, Jie Zhang
2020	—	`conf`	Factoring Behind-the-Meter Solar into Load Forecasting: Case Studies under Extreme Weather. ISGT Mucun Sun, Cong Feng, Jie Zhang
2020	J	`jnl`	Reinforced Deterministic and Probabilistic Load Forecasting via $Q$ -Learning Dynamic Model Selection. IEEE Trans. Smart Grid Cong Feng, Mucun Sun, Jie Zhang
2020	J	`jnl`	Sensitivity Analysis of Renewable Energy Integration on Stochastic Energy Management of Automated Reconfigurable Hybrid AC-DC Microgrid Considering DLR Security Constraint. IEEE Trans. Ind. Informatics Morteza Dabbaghjamanesh, Abdollah Kavousi-Fard, Shahab Mehraeen, Jie Zhang, Zhao Yang Dong
2020	—	`conf`	SolarNet: A Deep Convolutional Neural Network for Solar Forecasting via Sky Images. ISGT Cong Feng, Jie Zhang
2019	J	`jnl`	A Copula-Based Conditional Probabilistic Forecast Model for Wind Power Ramps. IEEE Trans. Smart Grid Mingjian Cui, Venkat Krishnan, Bri-Mathias S. Hodge, Jie Zhang
2019	J	`jnl`	A Data-Driven Methodology for Probabilistic Wind Power Ramp Forecasting. IEEE Trans. Smart Grid Mingjian Cui, Jie Zhang, Qin Wang, Venkat Krishnan, Bri-Mathias S. Hodge
2019	—	`conf`	Analyze the Break-even Cost of Lithium-ion Battery under Time-of-use Pricing Tariffs. ISGT Binghui Li, Jie Zhang, Ali Mehmani, Patricia J. Culligan
2019	—	`conf`	Assessing the Resilience of the Texas Power Grid Network. DSW Dorcas Ofori-Boateng, Asim Kumer Dey, Yulia R. Gel, Binghui Li, Jie Zhang, H. Vincent Poor
2019	—	`conf`	Reinforcement Learning based Dynamic Model Selection for Short-Term Load Forecasting. ISGT Cong Feng, Jie Zhang
2018	J	`jnl`	A Methodology for Quantifying Reliability Benefits From Improved Solar Power Forecasting in Multi-Timescale Power System Operations. IEEE Trans. Smart Grid Mingjian Cui, Jie Zhang, Bri-Mathias S. Hodge, Siyuan Lu, Hendrik F. Hamann
2018	J	`jnl`	An Unsupervised Clustering-Based Short-Term Solar Forecasting Methodology Using Multi-Model Machine Learning Blending. CoRR Cong Feng, Mingjian Cui, Bri-Mathias S. Hodge, Siyuan Lu, Hendrik F. Hamann, Jie Zhang
2018	J	`jnl`	Hourly-Similarity Based Solar Forecasting Using Multi-Model Machine Learning Blending. CoRR Cong Feng, Jie Zhang
2018	J	`jnl`	Reinforcement Learning based Dynamic Model Selection for Short-Term Load Forecasting. CoRR Cong Feng, Jie Zhang
2017	C	`conf`	Characterizing Time Series Data Diversity for Wind Forecasting. BDCAT Cong Feng, Erol Kevin Chartan, Bri-Mathias S. Hodge, Jie Zhang
2017	J	`jnl`	CompSim: Cross sectional modeling of geometrical complex and inhomogeneous slender structures. SoftwareX Turaj Ashuri, Jie Zhang
2015	—	`conf`	Machine learning based multi-physical-model blending for enhancing renewable energy forecast - improvement via situation dependent error correction. ECC Siyuan Lu, Youngdeok Hwang, Ildar Khabibrakhmanov, Fernando J. Marianno, Xiaoyan Shao, Jie Zhang, Bri-Mathias S. Hodge, Hendrik F. Hamann