Energy efficient fault detection and classification using hyperparameter-tuned machine learning classifiers with sensors
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanics of Materials,Electronic, Optical and Magnetic Materials
Reference48 articles.
1. End-to-end machine learning for fault detection and classification in power transmission lines;Rafique;Elec. Power Syst. Res.,2021
2. Fault detection and classification in transmission lines connected to inverter-based generators using machine learning;Al Kharusi;Energies,2022
3. Theoretical analysis on the short-circuit current of inverter-interfaced renewable energy generators with fault-ride-through capability;Liu;Sustainability,2017
4. Trends in the protection of inverter-based microgrids;Mahamedi;IET Gener. Transm. Distrib.,2019
5. Comprehensive protection schemes for different types of wind generators;Haj-Ahmed;IEEE Trans. Ind. Appl.,2018
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