Machine Learning-Based Reliability Improvement of Ambient Mode Extraction for Smart Grid Utilizing Isolation Forest-Reference-Cited by-同舟云学术

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Machine Learning-Based Reliability Improvement of Ambient Mode Extraction for Smart Grid Utilizing Isolation Forest

Published:2022 Issue: Volume: Page:1-9
ISSN:0885-8950
Container-title:IEEE Transactions on Power Systems
language:
Short-container-title:IEEE Trans. Power Syst.

Author:

Gao Han¹^ORCID,Yang Deyou¹^ORCID,Cai Guowei¹^ORCID,Chen Zhe²^ORCID,Ma Jin³^ORCID,Wang Lixin¹^ORCID,Duan Fangwei⁴,Wang Bo¹^ORCID

Affiliation:

1. School of Electrical Engineering, Northeast Electrical Power University, Jilin, China

2. Department of Energy Technology, Aalborg University, Aalborg, Denmark

3. School of Electrical and Information Engineering, The University of Sydney, Sydney, Australia

4. Power Research Institute of Liaoning Electric Power Co., Ltd, China

Funder

Science and Technology Projects of State Grid Corporation 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/ielx7/59/4374138/09970387.pdf?arnumber=9970387

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Line Loss Anomaly Perception Method Based on MIC-IF Algorithm for Photovoltaic Low-Voltage Transformer Area;IEEE Access;2024

2. Overview of Flexible Load Control;Power Systems;2024

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