Jie Zhang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 25

Top Topics

Defect Prediction

Renewable Energy

Top Venues

IEEE Trans. Smart Grid

IEEE Trans. Ind. Informatics

Publications

Sobhan Badakhshan, Jubeyer Rahman, Jie Zhang
Black Start of Coastline Power Networks From Grid-Forming Ship-to-Grid Services. IEEE Trans. Smart Grid 15 (2) (2024)
Jiaxin Wu, Xin Chen, Sobhan Badakhshan, Jie Zhang, Pingfeng Wang
Spectral Graph Clustering for Intentional Islanding Operations in Resilient Hybrid Energy Systems. IEEE Trans. Ind. Informatics 19 (4) (2023)
Li He, Yuanzhi Liu, Jie Zhang
An Occupancy-Informed Customized Price Design for Consumers: A Stackelberg Game Approach. IEEE Trans. Smart Grid 13 (3) (2022)
Seyed Abbas Seifossadat, Mohammad Rastegar, Mohammad Mohammadi, Soroush Senemmar, Jie Zhang
Hierarchical Microenergy Hub Sizing and Placement in Integrated Electricity and Natural Gas Distribution Systems. IEEE Syst. J. 16 (4) (2022)
Li He, Jie Zhang
A Community Sharing Market With PV and Energy Storage: An Adaptive Bidding-Based Double-Side Auction Mechanism. IEEE Trans. Smart Grid 12 (3) (2021)
Morteza Dabbaghjamanesh, Amirhossein Moeini, Nikos D. Hatziargyriou, Jie Zhang
Deep Learning-Based Real-Time Switching of Hybrid AC/DC Transmission Networks. IEEE Trans. Smart Grid 12 (3) (2021)
Morteza Dabbaghjamanesh, Soroush Senemmar, Jie Zhang
Resilient Distribution Networks Considering Mobile Marine Microgrids: A Synergistic Network Approach. IEEE Trans. Ind. Informatics 17 (8) (2021)
Morteza Dabbaghjamanesh, Boyu Wang, Abdollah Kavousi-Fard, Nikos D. Hatziargyriou, Jie Zhang
Blockchain-Based Stochastic Energy Management of Interconnected Microgrids Considering Incentive Price. IEEE Trans. Control. Netw. Syst. 8 (3) (2021)
Morteza Dabbaghjamanesh, Abdollah Kavousi-Fard, Jie Zhang
Stochastic Modeling and Integration of Plug-In Hybrid Electric Vehicles in Reconfigurable Microgrids With Deep Learning-Based Forecasting. IEEE Trans. Intell. Transp. Syst. 22 (7) (2021)
Yongtian Jia, Liming Ying, Donghui Wang, Jie Zhang
Defect Prediction of Relay Protection Systems Based on LSSVM-BNDT. IEEE Trans. Ind. Informatics 17 (1) (2021)
Cong Feng, Jie Zhang
SolarNet: A Deep Convolutional Neural Network for Solar Forecasting via Sky Images. ISGT (2020)
Mucun Sun, Cong Feng, Jie Zhang
Factoring Behind-the-Meter Solar into Load Forecasting: Case Studies under Extreme Weather. ISGT (2020)
Cong Feng, Ali Mehmani, Jie Zhang
Deep Learning-Based Real-Time Building Occupancy Detection Using AMI Data. IEEE Trans. Smart Grid 11 (5) (2020)
Morteza Dabbaghjamanesh, Jie Zhang
Deep Learning-based Real-time Switching of Reconfigurable Microgrids. ISGT (2020)
Cong Feng, Mucun Sun, Jie Zhang
Reinforced Deterministic and Probabilistic Load Forecasting via $Q$ -Learning Dynamic Model Selection. IEEE Trans. Smart Grid 11 (2) (2020)
Morteza Dabbaghjamanesh, Abdollah Kavousi-Fard, Shahab Mehraeen, Jie Zhang, Zhao Yang Dong
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 16 (1) (2020)
Mingjian Cui, Jie Zhang, Qin Wang, Venkat Krishnan, Bri-Mathias S. Hodge
A Data-Driven Methodology for Probabilistic Wind Power Ramp Forecasting. IEEE Trans. Smart Grid 10 (2) (2019)
Cong Feng, Jie Zhang
Reinforcement Learning based Dynamic Model Selection for Short-Term Load Forecasting. ISGT (2019)
Mingjian Cui, Venkat Krishnan, Bri-Mathias S. Hodge, Jie Zhang
A Copula-Based Conditional Probabilistic Forecast Model for Wind Power Ramps. IEEE Trans. Smart Grid 10 (4) (2019)
Binghui Li, Jie Zhang, Ali Mehmani, Patricia J. Culligan
Analyze the Break-even Cost of Lithium-ion Battery under Time-of-use Pricing Tariffs. ISGT (2019)
Cong Feng, Jie Zhang
Hourly-Similarity Based Solar Forecasting Using Multi-Model Machine Learning Blending. CoRR (2018)
Mingjian Cui, Jie Zhang, Bri-Mathias S. Hodge, Siyuan Lu, Hendrik F. Hamann
A Methodology for Quantifying Reliability Benefits From Improved Solar Power Forecasting in Multi-Timescale Power System Operations. IEEE Trans. Smart Grid 9 (6) (2018)
Cong Feng, Mingjian Cui, Bri-Mathias S. Hodge, Siyuan Lu, Hendrik F. Hamann, Jie Zhang
An Unsupervised Clustering-Based Short-Term Solar Forecasting Methodology Using Multi-Model Machine Learning Blending. CoRR (2018)
Cong Feng, Jie Zhang
Reinforcement Learning based Dynamic Model Selection for Short-Term Load Forecasting. CoRR (2018)
Cong Feng, Erol Kevin Chartan, Bri-Mathias S. Hodge, Jie Zhang
Characterizing Time Series Data Diversity for Wind Forecasting. BDCAT (2017)
Siyuan Lu, Youngdeok Hwang, Ildar Khabibrakhmanov, Fernando J. Marianno, Xiaoyan Shao, Jie Zhang, Bri-Mathias S. Hodge, Hendrik F. Hamann
Machine learning based multi-physical-model blending for enhancing renewable energy forecast - improvement via situation dependent error correction. ECC (2015)