Performance Analysis Among Predictive Models of Lightning Occurrence Using Artificial Neural Networks and SMOTE-Reference-Cited by-同舟云学术

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Performance Analysis Among Predictive Models of Lightning Occurrence Using Artificial Neural Networks and SMOTE

Published:2021-05 Issue:5 Volume:19 Page:755-762
ISSN:1548-0992
Container-title:IEEE Latin America Transactions
language:
Short-container-title:IEEE Latin Am. Trans.

Author:

Alves Elton^ORCID,Leal Adonis^ORCID,Lopes Marcio^ORCID,Fonseca Alber^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/9907/9448282/09448309.pdf?arnumber=9448309

Cited by 11 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. A multiclass short-term lightning predictor for the Amazon region using ground-based meteorological data and artificial neural network;Electric Power Systems Research;2024-10

2. Predicting Algorithm of Thunderstorm Days in the Northern Region of Chile Using Convolution Neural Network;IEEE Access;2024

3. A Comparative Analysis Using Machine Learning Approach for Thunderstorm Prediction in Southern Region of Peninsular Malaysia;2023 International Symposium on Lightning Protection (XVII SIPDA);2023-10-09

4. Transformer fault diagnosis method based on two-dimensional cloud model under the condition of defective data;Electrical Engineering;2023-08-05

5. Thunderstorm Prediction Model Using SMOTE Sampling and Machine Learning Approach;2023 12th Asia-Pacific International Conference on Lightning (APL);2023-06-12

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