Yi Guo
Orcid: 0000-0001-9589-3806Affiliations:
- ETH Zürich, Department of Information Technology and Electrical Engineering, Power Systems Laboratory, Zurich, Switzerland
- University of Texas at Dallas, Department of Mechanical Engineering, Richardson, TX, USA (PhD 2020)
According to our database1,
Yi Guo
authored at least 23 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
Improved Inner Approximation for Aggregating Power Flexibility in Active Distribution Networks and Its Applications.
IEEE Trans. Smart Grid, July, 2024
Sparse Structure Design for Stochastic Linear Systems via a Linear Matrix Inequality Approach.
IEEE Trans. Control. Syst. Technol., July, 2024
Flexibility Pricing in Distribution Systems: A Direct Method Aligned with Flexibility Models.
CoRR, 2024
Multiple Joint Chance Constraints Approximation for Uncertainty Modeling in Dispatch Problems.
CoRR, 2024
2023
IEEE Trans. Control. Syst. Technol., November, 2023
IEEE Syst. J., September, 2023
Optimal Pump Control for Water Distribution Networks via Data-Based Distributional Robustness.
IEEE Trans. Control. Syst. Technol., 2023
2022
Online Feedback Droop Scheduling in Distribution Grids for Frequency and Local Voltage Control.
CoRR, 2022
CoRR, 2022
Multiple Ancillary Services Provision by Distributed Energy Resources in Active Distribution Networks.
CoRR, 2022
Incorporate Day-ahead Robustness and Real-time Incentives for Electricity Market Design.
CoRR, 2022
2021
IEEE Trans. Instrum. Meas., 2021
2020
IEEE Trans. Smart Grid, 2020
Revisiting the Water Quality Sensor Placement Problem: Optimizing Network Observability and State Estimation Metrics.
CoRR, 2020
Proceedings of the 2020 American Control Conference, 2020
Proceedings of the 2020 American Control Conference, 2020
2019
IEEE Trans. Instrum. Meas., 2019
CoRR, 2019
A Performance and Stability Analysis of Low-inertia Power Grids with Stochastic System Inertia.
Proceedings of the 2019 American Control Conference, 2019
2018
Data-based Distributionally Robust Stochastic Optimal Power Flow, Part I: Methodologies.
CoRR, 2018
Data-based Distributionally Robust Stochastic Optimal Power Flow, Part II: Case studies.
CoRR, 2018
Stochastic Optimal Power Flow Based on Data-Driven Distributionally Robust Optimization.
Proceedings of the 2018 Annual American Control Conference, 2018
2016
IEEE Trans. Smart Grid, 2016