Evaluation of lightning performance of transmission lines protected by metal oxide surge arresters using artificial intelligence techniques

Author:

Christodoulou C. A.,Perantzakis G.,Spanakis G. E.,Karampelas P.

Publisher

Springer Science and Business Media LLC

Subject

General Energy,Economics and Econometrics,Modeling and Simulation

Cited by 6 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. Analysis of lightning arrester operating current based on multidimensional neural network for transmission lines;Evolutionary Intelligence;2022-11-28

2. Comprehensive Assessment Method of Natural Disaster Risk for Compact Transmission Corridor;Proceedings of 2020 International Top-Level Forum on Engineering Science and Technology Development Strategy and The 5th PURPLE MOUNTAIN FORUM (PMF2020);2021

3. Computation of Lightning Protection System for 220kV Transmission Line Inside Substation;2019 5th International Conference on Control, Automation and Robotics (ICCAR);2019-04

4. Decision-Making Support Method for the Preventive Substitution of Surge Arresters on Distribution Systems;Journal of Control, Automation and Electrical Systems;2019-01-04

5. Artificial Intelligence;Handbook of Research on Manufacturing Process Modeling and Optimization Strategies;2017

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