High-Dimensional Feature Selection for Power System Congestion Event Prognosis With Enhanced Evolutionary Computation-Reference-Cited by-同舟云学术

High-Dimensional Feature Selection for Power System Congestion Event Prognosis With Enhanced Evolutionary Computation

Published:2024-01 Issue:1 Volume:39 Page:1752-1770
ISSN:0885-8950
Container-title:IEEE Transactions on Power Systems
language:
Short-container-title:IEEE Trans. Power Syst.

Author:

Xu Jian¹^ORCID,Jiang Xinxiong¹^ORCID,Liao Siyang¹^ORCID,Ke Deping¹^ORCID,Sun Yuanzhang¹,Yao Liangzhong¹^ORCID

Affiliation:

1. Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network, School of Electrical Engineering and Automation, Wuhan University, Wuhan, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Link

http://xplorestaging.ieee.org/ielx7/59/10375285/10079141.pdf?arnumber=10079141

Reference54 articles.

1. Hierarchical Deep Learning Machine for Power System Online Transient Stability Prediction

2. Congestion Risk-Aware Unit Commitment With Significant Wind Power Generation

3. Congestion management in power systems – A review

4. Real-Time Congestion Management in Distribution Networks by Flexible Demand Swap

5. Dynamic Event Detection Using a Distributed Feature Selection Based Machine Learning Approach in a Self-Healing Microgrid

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