An Overview of Data Mining Techniques Applied to Power Systems (original) (raw)

Transmission line fault classification using Hidden Markov Models

Marcia Homci

IEEE Access

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A Framework for Evaluating Automatic Classification of Underlying Causes of Disturbances and Its Application to Short-Circuit Faults

Jefferson Morais

2010

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An experimental evaluation of automatic classification of sequences representing short circuits in transmission lines

Ppgeaa Antrópicos

2007

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Analysis of sequences of events for the characterisation of faults in power systems

Oscar Quiroga

2012

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A Fast Fault Classification Technique for Power Systems

Hassan Nouri

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Innovative applications of diagnosis, forecasting, pattern recognition and knowledge discovery in power systems

Eduardo Morales

2009 IEEE Power & Energy Society General Meeting, 2009

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Comparative Analysis Of Classification Techniques Used In Machine Learning As Applied On A Three Phase Long Transmission Line System For Fault Prediction Using Python

Anjan Kumar Sahoo

2021

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Machine Learning Approaches for Power Transmission Lines Fault Classification: A Systematic Review

Biobele Alexander Wokoma

Journal of Advanced Research in Artificial Intelligence & It's Applications, 2024

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Power System Fault Data and Time Series

Srete Nikolovski, Marinko Stojkov

Probabilistic Safety Assessment and Management, 2004

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Performance Analysis of Machine Learning Classifiers for Fault Type Classification in Multi-Bus Power Systems

Md Ata Ullah

HELIX

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Modeling and Recognition of Smart Grid Faults by a Combined Approach of Dissimilarity Measures and One-Class Classification

Antonello Rizzi

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CLASSIFICATION OF SHORT DURATION FAULTS (VOLTAGE SAGS) IN TRANSMISSION AND DISTRIBUTION POWER SYSTEMS

Magda Mora

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Regression and classifier of real-time fault data using non-linear autoregressive exogenous model (NARX analysis) and comparing with Python tool

Gyanesh Singh

TARU Journal of Computer Dynamics & Technological Advances

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Data Mining Fault Information Reports for Prediction

Ramesh Rayudu

archive.itee.uq.edu.au

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A new intelligent scheme for power system faults detection and classification: A hybrid technique

gopinath singaram

International Journal of Numerical Modelling-electronic Networks Devices and Fields, 2020

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Hierarchical Agglomerative Clustering of Short-Circuit Faults in Transmission Lines

Ppgeaa Antrópicos

2008

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Real-time multi-state classification of short-term voltage stability based on multivariate time series machine learning

Graciela Colome

International Journal of Electrical Power & Energy Systems, 2019

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Fault detection and other time series opportunities in the petroleum industry

Roar Nybø

Neurocomputing, 2010

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Using machine learning algorithms for classifying transmission line faults

TUBA TANYILDIZI AĞIR

DÜMF Mühendislik Dergisi

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Early fault identification for operating circuit breaker based on classifier model system

Indonesian Journal of Electrical Engineering and Computer Science

Indonesian Journal of Electrical Engineering and Computer Science, 2022

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Multi-stage fault warning for large electric grids using anomaly detection and machine learning

Sanjeev Raja

Mathematics for Application, 2020

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Transmission Line Fault Classification of Multi-Dataset Using CatBoost Classifier

Vin Ogar

Signals

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Statistical decision-tree based fault classification scheme for protection of power transmission lines

Chandra Gupta

International Journal of Electrical Power & Energy Systems, 2012

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Modeling and recognition of smart grid faults by a combined approach of dissimilarity learning and one-class classification

Alireza Sadeghian

Neurocomputing, 2015

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The Characterisation and Automatic Classification of Transmission Line Faults: PhD Thesis

Ulrich Minnaar

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AN EFFICIENT FAULT ZONE IDENTIFICATION OF BUS SYSTEM IN DATA MINING TECHNIQUE

Thangalakshmi Prakash

INTERNATIONAL JOURNAL OF SCIENCE AND INNOVATIVE ENGINEERING & TECHNOLOGY, 2015

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Algorithms for Electrical Power Time Series Classification and Clustering

Emanuele Ciapessoni

2018

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Power system fault detection and classification using probabilistic approach

Waldemar Rebizant

European Transactions on Electrical Power, 1999

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Power System Fault Prediction Using Artificial Neural Networks

aregawi hiwot

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ANALYSIS AND COMPARISON OF MACHINE LEARNING APPROACHES FOR TRANSMISSION LINE FAULT PREDICTION IN POWER SYSTEMS 1

Journal of Research in Engineering and Applied Sciences by Yeshwantrao Chavan College of Engineering, Nagpur

Journal of Research in Engineering and Applied Sciences, 2021

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