Tianyang Zhao
Orcid: 0000-0003-0184-6553
According to our database1,
Tianyang Zhao
authored at least 37 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
More Efficient Energy Management for Hybrid AC/DC Microgrids With Hard Constrained Neural Network-Based Conversion Loss Surrogate Models.
IEEE Trans. Smart Grid, May, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Neural Networks Learn. Syst., December, 2023
Hierarchical Hybrid Multi-Agent Deep Reinforcement Learning for Peer-to-Peer Energy Trading Among Multiple Heterogeneous Microgrids.
IEEE Trans. Smart Grid, November, 2023
Three-Stage Stochastic Unit Commitment for Microgrids Toward Frequency Security via Renewable Energy Deloading.
IEEE Trans. Smart Grid, November, 2023
More Efficient Energy Management for Networked Hybrid AC/DC Microgrids With Multivariable Nonlinear Conversion Losses.
IEEE Syst. J., June, 2023
Real-Time Operation Management for Battery Swapping-Charging System via Multi-Agent Deep Reinforcement Learning.
IEEE Trans. Smart Grid, 2023
Congestion-Aware Dynamic Optimal Traffic Power Flow in Coupled Transportation Power Systems.
IEEE Trans. Ind. Informatics, 2023
2022
Dataset, August, 2022
Stochastic Scheduling of Mobile Energy Storage Systems for Transmission System Resilience Enhancement.
Proceedings of the IEEE PES Innovative Smart Grid Technologies - Asia, 2022
A Neural Network-Based Conversion Loss Model with Hard Constraints for Energy Management.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2022
2021
Stochastic Scheduling of Mobile Energy Storage in Coupled Distribution and Transportation Networks for Conversion Capacity Enhancement.
IEEE Trans. Smart Grid, 2021
A Meta-learning Based Multimodal Neural Network for Multistep Ahead Battery Thermal Runaway Forecasting.
IEEE Trans. Ind. Informatics, 2021
Efficient Onboard Energy Storage System Sizing for All-Electric Ship Microgrids via Optimized Navigation Routing.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2021
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Enhancing Dialogue-based Relation Extraction by Speaker and Trigger Words Prediction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
A Unified Multi-Task Learning Framework for Joint Extraction of Entities and Relations.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Spatial-Temporal Reliability and Damage Assessment of Transmission Networks Under Hurricanes.
IEEE Trans. Smart Grid, 2020
Rolling Optimization of Mobile Energy Storage Fleets for Resilient Service Restoration.
IEEE Trans. Smart Grid, 2020
A Distributed and Robust Energy Management System for Networked Hybrid AC/DC Microgrids.
IEEE Trans. Smart Grid, 2020
IEEE Signal Process. Lett., 2020
Asking Effective and Diverse Questions: A Machine Reading Comprehension based Framework for Joint Entity-Relation Extraction.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
BiGCNN: Bidirectional Gated Convolutional Neural Network for Chinese Named Entity Recognition.
Proceedings of the Database Systems for Advanced Applications, 2020
Entity Relative Position Representation Based Multi-head Selection for Joint Entity and Relation Extraction.
Proceedings of the Chinese Computational Linguistics - 19th China National Conference, CCL 2020, Hainan, China, October 30, 2020
2019
Two-Step Multi-Objective Management of Hybrid Energy Storage System in All-Electric Ship Microgrids.
IEEE Trans. Veh. Technol., 2019
Transportable Energy Storage for More Resilient Distribution Systems With Multiple Microgrids.
IEEE Trans. Smart Grid, 2019
IEEE Trans. Smart Grid, 2019
Real-Time Identification of Power Fluctuations Based on LSTM Recurrent Neural Network: A Case Study on Singapore Power System.
IEEE Trans. Ind. Informatics, 2019
Resilient Load Restoration in Microgrids Considering Mobile Energy Storage Fleets: A Deep Reinforcement Learning Approach.
CoRR, 2019
Learning Trajectory Prediction with Continuous Inverse Optimal Control via Langevin Sampling of Energy-Based Models.
CoRR, 2019
Reliability Modeling and Assessment of Isolated Microgrid Considering Influences of Frequency Control.
IEEE Access, 2019
Coordinated Stochastic Scheduling for Improving Wind Power Adsorption in Electric Vehicles-Wind Integrated Power Systems by Multi-objective Optimization Approach.
Proceedings of the 2019 IEEE Industry Applications Society Annual Meeting, Baltimore, MD, USA, September 29, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2018
Real-Time Optimal Energy and Reserve Management of Electric Vehicle Fast Charging Station: Hierarchical Game Approach.
IEEE Trans. Smart Grid, 2018
IEEE Trans. Ind. Informatics, 2018