Ming Yang
Orcid: 0000-0001-9122-0401Affiliations:
- Shandong University, Key Laboratory of Power System Intelligent Dispatch and Control / Collaborative Innovation Center of Global Energy Internet, Jinan, China
According to our database1,
Ming Yang
authored at least 22 papers
between 2013 and 2024.
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Bibliography
2024
Low-Carbon Economic Dispatch of Integrated Energy Systems Considering Full-Process Carbon Emission Tracking and Low Carbon Demand Response.
IEEE Trans. Netw. Sci. Eng., 2024
2023
Distributionally Robust Energy Management for Islanded Microgrids With Variable Moment Information: An MISOCP Approach.
IEEE Trans. Smart Grid, September, 2023
Risk-Based Reserve Scheduling for Active Distribution Networks Based on an Improved Proximal Policy Optimization Algorithm.
IEEE Access, 2023
2022
Three-Phase Unbalanced Distribution Network Dynamic Reconfiguration: A Distributionally Robust Approach.
IEEE Trans. Smart Grid, 2022
Day-Ahead Optimal Dispatch Strategy for Active Distribution Network Based on Improved Deep Reinforcement Learning.
IEEE Access, 2022
2021
Three-Phase Symmetric Distribution Network Fast Dynamic Reconfiguration Based on Timing-Constrained Hierarchical Clustering Algorithm.
Symmetry, 2021
A Novel Thévenin Equivalent Model Considering the Correlation of Source-Grid-Load in Power Systems.
IEEE Access, 2021
2020
Day-ahead Optimal Dispatch for Integrated Energy System Considering Power-to-gas and Dynamic Pipeline Networks.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2020
Multi-timescale Active Distribution Network Scheduling Considering Demand-Side Response and User Comprehensive Satisfaction.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2020
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2020
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2020
2019
Impact of Power-to-Gas Cost Characteristics on Power-Gas-Heating Integrated System Scheduling.
IEEE Access, 2019
Cone-Beam Computed Tomography (CBCT) Segmentation by Adversarial Learning Domain Adaptation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Probabilistic Prediction of Regional Wind Power Based on Spatiotemporal Quantile Regression.
Proceedings of the 2019 IEEE Industry Applications Society Annual Meeting, Baltimore, MD, USA, September 29, 2019
2018
Interval Estimation for Conditional Failure Rates of Transmission Lines With Limited Samples.
IEEE Trans. Smart Grid, 2018
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2018
2017
CoRR, 2017
CoRR, 2017
Ultra-short-term wind generation forecast based on multivariate empirical dynamic modeling.
Proceedings of the 2017 IEEE Industry Applications Society Annual Meeting, 2017
2016
A dynamic equivalent method of wind farm considering wind farm dispersity and wind turbine difference.
Proceedings of the 2016 IEEE Industry Applications Society Annual Meeting, 2016
2015
Probabilistic wind generation forecast based on sparse Bayesian classification and Dempster-Shafer theory.
Proceedings of the 2015 IEEE Industry Applications Society Annual Meeting, 2015
2013
Proceedings of the 2013 IEEE Industry Applications Society Annual Meeting, 2013