Fault Diagnosis in Power Transmission Line using Decision Tree and Random Forest Classifier
Author:
Affiliation:
1. Indian Institute of Technology (BHU),Department of Electrical Engineering,Varanasi,Uttar Pradesh,India,221005
2. Indian Institute of Engineering, Science and Technology,Department of Electrical Engineering,Shibpur,West Bengal,India,711103
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10077526/10077615/10077633.pdf?arnumber=10077633
Reference10 articles.
1. Learning efficient classification procedures;quinlan;Machine Learning An Artificial Intelligence Approach Morgan Kaufmapp,1983
2. A Novel Approach to Detect Power Theft in a Distribution System Using Machine Learning and Artificial Intelligence
3. Development of an Ensemble Decision Tree-Based Power System Dynamic Security State Predictor
4. Real-time dynamic security analysis of power systems using strategic PMU measurements and decision tree classification
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1. A Systematic Review on Categorization of Bug Detecting Techniques In Renewable Type of Integration Systems for Optimization;2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE);2024-05-14
2. Transmission Line Fault Diagnosis Method Based on Improved Multiple SVM Model;IEEE Access;2023
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