Machine learning based multi-physical-model blending for enhancing renewable energy forecast - improvement via situation dependent error correction. - Siyuan Lu 003; Youngdeok Hwang; Ildar Khabibrakhmanov; Fernando J. Marianno; Xiaoyan Shao; Jie Zhang 054; Bri-Mathias S. Hodge; Hendrik F. Hamann (ECC, 2015)

Characterizing Time Series Data Diversity for Wind Forecasting. - Cong Feng; Erol Kevin Chartan; Bri-Mathias S. Hodge; Jie Zhang 054 (BDCAT, 2017)

CompSim: Cross sectional modeling of geometrical complex and inhomogeneous slender structures. - Turaj Ashuri; Jie Zhang 054 (SoftwareX, 2017)

Hourly-Similarity Based Solar Forecasting Using Multi-Model Machine Learning Blending. - Cong Feng; Jie Zhang 054 (CoRR, 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 003; Hendrik F. Hamann; Jie Zhang 054 (CoRR, 2018)

A Methodology for Quantifying Reliability Benefits From Improved Solar Power Forecasting in Multi-Timescale Power System Operations. - Mingjian Cui; Jie Zhang 054; Bri-Mathias S. Hodge; Siyuan Lu 003; Hendrik F. Hamann (IEEE Trans. Smart Grid, 2018)

Assessing the Resilience of the Texas Power Grid Network. - Dorcas Ofori-Boateng; Asim Kumer Dey; Yulia R. Gel; Binghui Li; Jie Zhang 054; H. Vincent Poor (DSW, 2019)

Reinforcement Learning based Dynamic Model Selection for Short-Term Load Forecasting. - Cong Feng; Jie Zhang 054 (ISGT, 2019)

Analyze the Break-even Cost of Lithium-ion Battery under Time-of-use Pricing Tariffs. - Binghui Li; Jie Zhang 054; Ali Mehmani; Patricia J. Culligan (ISGT, 2019)

A Copula-Based Conditional Probabilistic Forecast Model for Wind Power Ramps. - Mingjian Cui; Venkat Krishnan; Bri-Mathias S. Hodge; Jie Zhang 054 (IEEE Trans. Smart Grid, 2019)

A Data-Driven Methodology for Probabilistic Wind Power Ramp Forecasting. - Mingjian Cui; Jie Zhang 054; Qin Wang; Venkat Krishnan; Bri-Mathias S. Hodge (IEEE Trans. Smart Grid, 2019)

Deep Learning-based Real-time Switching of Reconfigurable Microgrids. - Morteza Dabbaghjamanesh; Jie Zhang 054 (ISGT, 2020)

SolarNet: A Deep Convolutional Neural Network for Solar Forecasting via Sky Images. - Cong Feng; Jie Zhang 054 (ISGT, 2020)

A Copula Enhanced Convolution for Uncertainty Aggregation. - Binghui Li; Jie Zhang 054; Benjamin F. Hobbs (ISGT, 2020)

Factoring Behind-the-Meter Solar into Load Forecasting: Case Studies under Extreme Weather. - Mucun Sun; Cong Feng; Jie Zhang 054 (ISGT, 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 054; Zhao Yang Dong (IEEE Trans. Ind. Informatics, 2020)

Deep Learning-Based Real-Time Building Occupancy Detection Using AMI Data. - Cong Feng; Ali Mehmani; Jie Zhang 054 (IEEE Trans. Smart Grid, 2020)

Reinforced Deterministic and Probabilistic Load Forecasting via $Q$ -Learning Dynamic Model Selection. - Cong Feng; Mucun Sun; Jie Zhang 054 (IEEE Trans. Smart Grid, 2020)

Blockchain-Based Stochastic Energy Management of Interconnected Microgrids Considering Incentive Price. - Morteza Dabbaghjamanesh; Boyu Wang; Abdollah Kavousi-Fard; Nikos D. Hatziargyriou; Jie Zhang 054 (IEEE Trans. Control. Netw. Syst., 2021)

Resilient Distribution Networks Considering Mobile Marine Microgrids: A Synergistic Network Approach. - Morteza Dabbaghjamanesh; Soroush Senemmar; Jie Zhang 054 (IEEE Trans. Ind. Informatics, 2021)

Defect Prediction of Relay Protection Systems Based on LSSVM-BNDT. - Yongtian Jia; Liming Ying; Donghui Wang; Jie Zhang 054 (IEEE Trans. Ind. Informatics, 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 054 (IEEE Trans. Intell. Transp. Syst., 2021)

Deep Learning-Based Real-Time Switching of Hybrid AC/DC Transmission Networks. - Morteza Dabbaghjamanesh; Amirhossein Moeini; Nikos D. Hatziargyriou; Jie Zhang 054 (IEEE Trans. Smart Grid, 2021)

A Community Sharing Market With PV and Energy Storage: An Adaptive Bidding-Based Double-Side Auction Mechanism. - Li He 004; Jie Zhang 054 (IEEE Trans. Smart Grid, 2021)

Hierarchical Microenergy Hub Sizing and Placement in Integrated Electricity and Natural Gas Distribution Systems. - Seyed Abbas Seifossadat; Mohammad Rastegar; Mohammad Mohammadi 001; Soroush Senemmar; Jie Zhang 054 (IEEE Syst. J., 2022)

An Occupancy-Informed Customized Price Design for Consumers: A Stackelberg Game Approach. - Li He 004; Yuanzhi Liu; Jie Zhang 054 (IEEE Trans. Smart Grid, 2022)

Short-term load forecasting data with hierarchical advanced metering infrastructure and weather features. - Jie Zhang 054; Cong Feng (IEEE DataPort, 2022)

Spectral Graph Clustering for Intentional Islanding Operations in Resilient Hybrid Energy Systems. - Jiaxin Wu; Xin Chen 026; Sobhan Badakhshan; Jie Zhang 054; Pingfeng Wang (IEEE Trans. Ind. Informatics, 2023)

Black Start of Coastline Power Networks From Grid-Forming Ship-to-Grid Services. - Sobhan Badakhshan; Jubeyer Rahman; Jie Zhang 054 (IEEE Trans. Smart Grid, 2024)