Intelligent Fault Diagnosis Approach for PV Arrays Based on Sparrow Search Algorithm Optimized Kernel Extreme Learning Machine-Reference-Cited by-同舟云学术

Intelligent Fault Diagnosis Approach for PV Arrays Based on Sparrow Search Algorithm Optimized Kernel Extreme Learning Machine

Published:2021-10-22 Issue: Volume: Page:
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Container-title:2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2)
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Author:

Jin Cheng¹,Chen Laijun¹,Ma Hengrui¹,Xue Xiaodai²,Mei Shengwei²

Affiliation:

1. New Energy (Photovoltaic) Industry Research Center Qinghai University,Xining,China

2. Tsinghua University,Department of Electrical Engineering,Beijing,China

Funder

National Key R&D Program of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9712847/9712848/09713382.pdf?arnumber=9713382

Reference16 articles.

1. Research on PV fault diagnosis model based on cascaded random forest;ye;Acta Energiae Solaris Sinica,2021

2. A novel swarm intelligence optimization approach: sparrow search algorithm

3. A wind power interval prediction method based on particle swarm optimization with kernel extreme learning machine model;xiyun;Proceedings of the CSEE,0

4. An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels

5. Fault diagnosis of photovoltaic arrays based on semi-supervised machine learning method;guanghui;Power System Technology,2020

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1. Fault Detection and Diagnosis in Grid-Connected PV Systems Under Irradiance Variations;2023 3rd International Conference on Energy, Power and Electrical Engineering (EPEE);2023-09-15

2. Advances in Sparrow Search Algorithm: A Comprehensive Survey;Archives of Computational Methods in Engineering;2022-08-22