Research of Outage Duration Prediction Based on CNN-SVR Under Gray Wolf Optimization-Reference-Cited by-同舟云学术

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Research of Outage Duration Prediction Based on CNN-SVR Under Gray Wolf Optimization

Published:2023-12-28 Issue: Volume: Page:917-922
ISSN:
Container-title:2023 2nd Asia Power and Electrical Technology Conference (APET)
language:
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Author:

Chengfei Qi¹,Yan Liu¹,Chaoran Bi¹,Shi Zeng²,Junling Wan³,Peisen Yuan³

Affiliation:

1. Metrology center of State Grid Jibei Electric Power Co., Ltd.,Beijing,China,100045

2. School of computer science, Nanjing University of Aeronautics and Astronautics,Nanjing,China,211106

3. College of Artificial Intelligence, Nanjing Agricultural University,Nanjing,China,210095

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10488911/10488919/10489016.pdf?arnumber=10489016

Reference16 articles.

1. Multi-target prediction model of urban distribution system rainfall-caused outage based on spatiotemporal fusion

2. Accurate and fast machine learning algorithm for systems outage prediction

3. Multi-target prediction model of urban distribution system rainfall-caused outage based on spatiotemporal fusion

4. Machine learning evaluation of storm-related transmission outage factors and risk

5. Artificial Intelligence Based Approach for Short Term Load Forecasting for Selected Feeders at Madina, Saudi Arabia

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