Jie Zhang
Orcid: 0000-0001-7478-5670Affiliations:
- University of Texas at Dallas, Department of Mechanical Engineering, Dallas, TX, USA
- National Renewable Energy Laboratory, Golden, CO, USA
According to our database1,
Jie Zhang
authored at least 29 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on orcid.org
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on utdallas.edu
On csauthors.net:
Bibliography
2024
IEEE Trans. Smart Grid, 2024
2023
Spectral Graph Clustering for Intentional Islanding Operations in Resilient Hybrid Energy Systems.
IEEE Trans. Ind. Informatics, April, 2023
2022
Short-term load forecasting data with hierarchical advanced metering infrastructure and weather features.
Dataset, May, 2022
An Occupancy-Informed Customized Price Design for Consumers: A Stackelberg Game Approach.
IEEE Trans. Smart Grid, 2022
Hierarchical Microenergy Hub Sizing and Placement in Integrated Electricity and Natural Gas Distribution Systems.
IEEE Syst. J., 2022
2021
A Community Sharing Market With PV and Energy Storage: An Adaptive Bidding-Based Double-Side Auction Mechanism.
IEEE Trans. Smart Grid, 2021
IEEE Trans. Smart Grid, 2021
Stochastic Modeling and Integration of Plug-In Hybrid Electric Vehicles in Reconfigurable Microgrids With Deep Learning-Based Forecasting.
IEEE Trans. Intell. Transp. Syst., 2021
IEEE Trans. Ind. Informatics, 2021
Resilient Distribution Networks Considering Mobile Marine Microgrids: A Synergistic Network Approach.
IEEE Trans. Ind. Informatics, 2021
Blockchain-Based Stochastic Energy Management of Interconnected Microgrids Considering Incentive Price.
IEEE Trans. Control. Netw. Syst., 2021
2020
Reinforced Deterministic and Probabilistic Load Forecasting via $Q$ -Learning Dynamic Model Selection.
IEEE Trans. Smart Grid, 2020
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.
IEEE Trans. Ind. Informatics, 2020
Factoring Behind-the-Meter Solar into Load Forecasting: Case Studies under Extreme Weather.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020
2019
IEEE Trans. Smart Grid, 2019
IEEE Trans. Smart Grid, 2019
Analyze the Break-even Cost of Lithium-ion Battery under Time-of-use Pricing Tariffs.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2019
Reinforcement Learning based Dynamic Model Selection for Short-Term Load Forecasting.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2019
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.
IEEE Trans. Smart Grid, 2018
An Unsupervised Clustering-Based Short-Term Solar Forecasting Methodology Using Multi-Model Machine Learning Blending.
CoRR, 2018
Hourly-Similarity Based Solar Forecasting Using Multi-Model Machine Learning Blending.
CoRR, 2018
2017
CompSim: Cross sectional modeling of geometrical complex and inhomogeneous slender structures.
SoftwareX, 2017
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.
Proceedings of the 14th European Control Conference, 2015