Jie Shi

Orcid: 0000-0002-1760-0462

Affiliations:
  • University of California, Riverside, Department of Electrical and Computer Engineering, CA, USA


According to our database1, Jie Shi authored at least 17 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Lyapunov Optimization in Online Battery Energy Storage System Control for Commercial Buildings.
IEEE Trans. Smart Grid, 2023

2022
A Dynamic Behavior-Based Bulk Power System Event Signature Library With Empirical Clustering.
IEEE Access, 2022

Power System Event Identification with Transfer Learning Using Large-scale Real-world Synchrophasor Data in the United States.
Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022

2020
Safe Off-Policy Deep Reinforcement Learning Algorithm for Volt-VAR Control in Power Distribution Systems.
IEEE Trans. Smart Grid, 2020

Batch-Constrained Reinforcement Learning for Dynamic Distribution Network Reconfiguration.
IEEE Trans. Smart Grid, 2020

Information Losses in Neural Classifiers From Sampling.
IEEE Trans. Neural Networks Learn. Syst., 2020

Operating Electric Vehicle Fleet for Ride-Hailing Services With Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst., 2020

Power System Event Identification based on Deep Neural Network with Information Loading.
CoRR, 2020

Optimal Placement and Intelligent Smoke Detection Algorithm for Wildfire-Monitoring Cameras.
IEEE Access, 2020

Online Event Detection in Synchrophasor Data with Graph Signal Processing.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Detection and Segmentation of Power Line Fires in Videos.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

2019
Smart Building Energy Management using Nonlinear Economic Model Predictive Control.
CoRR, 2019

Asymptotic Finite Sample Information Losses in Neural Classifiers.
CoRR, 2019

Volt-VAR Control in Power Distribution Systems with Deep Reinforcement Learning.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Dynamic Distribution Network Reconfiguration Using Reinforcement Learning.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018
Impacts of Climate Change and Socioeconomic Development on Electric Load in California.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

2017
Evaluation of frequency regulation provision by commercial building HVAC systems.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017


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