Concepedia

Comprehensive strategy for classification of voltage sags source location using optimal feature selection applied to support vector machine and ensemble techniques

Younes Mohammadi, Amir Salarpour, Roberto Chouhy Leborgne

International Journal of Electrical Power & Energy Systems · 2020 · 29 citations · 39 references

Concepts

ComputingElectrical EngineeringData MiningFeature EngineeringMachine LearningEnsemble LearningEnsemble MethodsFault DetectionFeature SelectionPower SystemsSupport Vector MachinesEnsemble SelectionFeature Selection For ClassificationFeature Subset SelectionFeature Vector EngineeringMachine Learning For Smart GridsRandom Forest ClassificationSupport Vector Machine ClassificationVoltage Sag Mitigation

References

39

Ensemble learning: A survey

Omer Sagi, Lior Rokach · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · 2018 · 3K citations

Computing, Computer Science, Data Science +16

Understanding power quality problems: voltage sags and interruptions

Choice Reviews Online · 2000 · 1.8K citations

Engineering, Electrical Engineering, Systems Engineering +17

Predicting sample size required for classification performance

Rosa L. Figueroa, Qing Zeng‐Treitler, Sasikiran Kandula et al. · BMC Medical Informatics and Decision Making · 2012 · 517 citations · Full text

Computing, Data Science, Machine Learning +16

Understanding Power Quality Problems, Voltage Sags and Interruptions

Math Bollen · CERN Document Server (European Organization for Nuclear Research) · 2000 · 468 citations

Engineering, Electrical Engineering, Systems Engineering +17

Optimal feature selection for classification of power quality disturbances using wavelet packet-based fuzzy <i>k</i> -nearest neighbour algorithm

Bijaya Ketan Panigrahi, V. Ravikumar Pandi · IET Generation Transmission & Distribution · 2009 · 178 citations

Computing, Computer Science, Electrical Engineering +17