Applications of artificial intelligence and hybrid neural network methods with new bonding method to prevent electroshock risk and insulation faults in high-voltage underground cable lines

Author:

Akbal Bahadır

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Cited by 12 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. Research on Key Technologies and Issues of Intelligent Operation and Maintenance Gateway for Substations;2024 6th International Conference on Energy Systems and Electrical Power (ICESEP);2024-06-21

2. Graph Computing Based Electric Power Equipment Defect Grading with Multi-scale Mechanism;2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES);2022-12-09

3. Relationship Between Electrical Treeing Degradation and DCIC-Q(t) Characteristics of XLPE Insulation;2022 IEEE 4th International Conference on Dielectrics (ICD);2022-07-03

4. Hybridization of hybrid structures for time series forecasting: a review;Artificial Intelligence Review;2022-05-16

5. Designing of High Voltage Cable Bonding with Intelligence Algorithms to Avoid Cable Insulation Faults and Electroshock in High Voltage Lines;Journal of Engineering Research;2022-01-03

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