Tianyang Zhao
Orcid: 0000-0003-0184-6553Affiliations:
- KTH Royal Institute of Technology, Stockholm, Sweden
According to our database1,
Tianyang Zhao
authored at least 26 papers
between 2018 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Distributionally Robust Resilient Unit Commitment Supported by Battery-Electric Locomotives Under Decision-Dependent Uncertainties.
IEEE Trans. Smart Grid, September, 2025
Multiagent Deep Reinforcement Learning for Transactive Energy Management of MMGs Incorporating Battery Swapping Stations.
IEEE Trans. Ind. Informatics, July, 2025
Two-Stage Planning for Smart Buildings With Flexible Heating Load Considering Climate Change Induced Heat Waves.
IEEE Trans. Smart Grid, May, 2025
2024
Distributed Event-Triggered Fixed-Time Secondary Voltage Control and Automatic Power Sharing for MTDC Grids.
IEEE Syst. J., December, 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
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
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
Proceedings of the IEEE Industry Applications Society Annual Meeting, 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
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
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
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