Hybrid Machine Learning Models for Classifying Power Quality Disturbances: A Comparative Study

Hybrid Machine Learning Models for Classifying Power Quality Disturbances: A Comparative Study

The economic impact associated with power quality (PQ) problems in electrical systems is increasing, so PQ improvement research becomes a key task. In this paper, a Stockwell transform (ST)-based hybrid machine learning approach was used for the recognition and classification of power quality distur...

Full description

Bibliographic Details
Main Authors:	Juan Carlos Bravo-Rodríguez, Francisco J. Torres, María D. Borrás
Format:	Article
Language:	English
Published:	MDPI AG 2020-06-01
Series:	Energies
Subjects:	power quality disturbances classification feature selection swarm optimization support vector machine genetic algorithm
Online Access:	https://www.mdpi.com/1996-1073/13/11/2761

Similar Items

Adaptive Salp Swarm Algorithm as Optimal Feature Selection for Power Quality Disturbance Classification
by: Supanat Chamchuen, et al.
Published: (2021-06-01)

Fast Support Vector Machine for Power Quality Disturbance Classification
by: Whei-Min Lin, et al.
Published: (2022-11-01)

Identification method for disturbance signal of power quality based on improve Harris Hawks optimization-support vector machine
by: CHEN Xiaohua, et al.
Published: (2023-08-01)

A Novel Methodology for Classifying EMG Movements Based on SVM and Genetic Algorithms
by: Marcos Aviles, et al.
Published: (2022-11-01)

High-Accuracy Power Quality Disturbance Classification Using the Adaptive ABC-PSO as Optimal Feature Selection Algorithm
by: Supanat Chamchuen, et al.
Published: (2021-02-01)

Power Quality Disturbance Recognition Using VMD-Based Feature Extraction and Heuristic Feature Selection
by: Lei Fu, et al.
Published: (2019-11-01)

An Improved Network Traffic Classification Model Based on a Support Vector Machine
by: Jie Cao, et al.
Published: (2020-02-01)

Feature Selection Using Enhanced Particle Swarm Optimisation for Classification Models
by: Hailun Xie, et al.
Published: (2021-03-01)

Classification of Power Quality Disturbance Using Segmented and Modified S-Transform and DCNN-MSVM Hybrid Model
by: Mingping Liu, et al.
Published: (2023-01-01)

Tuberculous pleural effusion prediction using ant colony optimizer with grade-based search assisted support vector machine
by: Chengye Li, et al.
Published: (2022-12-01)

Machine learning for detecting fake accounts and genetic algorithm-based feature selection
by: Amine Sallah, et al.
Published: (2024-01-01)

A hybrid of practicle swarm optimization and support vector machine approach for genes selection and classification of microarray data /
by: Nurulhuda Ghazali, 1986-, et al.
Published: (2008)

A hybrid of practicle swarm optimization and support vector machine approach for genes selection and classification of microarray data [electronic resource] /
by: Nurulhuda Ghazali, 1986-
Published: (2008)

Power Quality Disturbances Feature Selection and Recognition Using Optimal Multi-Resolution Fast S-Transform and CART Algorithm
by: Nantian Huang, et al.
Published: (2016-11-01)

Hybrid distributed feature selection using particle swarm optimization-mutual information
by: Khumukcham Robindro, et al.
Published: (2024-03-01)

Power Quality Disturbance Tracking Based on a Proprietary FPGA Sensor with GPS Synchronization
by: Oscar N. Pardo-Zamora, et al.
Published: (2021-06-01)

A new hybrid approach based on genetic algorithm and support vector machine methods for hyperparameter optimization in synthetic minority over-sampling technique (SMOTE)
by: Pelin Akın
Published: (2023-02-01)

A Novel Hybrid Runge Kutta Optimizer with Support Vector Machine on Gene Expression Data for Cancer Classification
by: Essam H. Houssein, et al.
Published: (2023-05-01)

Towards Short Term Electricity Load Forecasting Using Improved Support Vector Machine and Extreme Learning Machine
by: Waqas Ahmad, et al.
Published: (2020-06-01)

Strategy based on genetic algorithms for an optimal adjust of a support vector machine used for locating faults in power distribution systems
by: Jaime Gutiérrez Gallego, et al.
Published: (2013-03-01)

A two‐stage transformer fault diagnosis method based multi‐filter interactive feature selection integrated adaptive sparrow algorithm optimised support vector machine
by: Hanyu Shi, et al.
Published: (2023-03-01)

Combining Evolutionary Algorithms and Machine Learning Models in Landslide Susceptibility Assessments
by: Wei Chen, et al.
Published: (2020-11-01)

A Feature Selection Based on Improved Artificial Hummingbird Algorithm Using Random Opposition-Based Learning for Solving Waste Classification Problem
by: Mona A. S. Ali, et al.
Published: (2022-07-01)

BAOA: Binary Arithmetic Optimization Algorithm With K-Nearest Neighbor Classifier for Feature Selection
by: Nima Khodadadi, et al.
Published: (2023-01-01)

A water quality assessment method based on an improved grey relational analysis and particle swarm optimization multi-classification support vector machine
by: Rongli Gai, et al.
Published: (2023-01-01)

Novel Improved Salp Swarm Algorithm: An Application for Feature Selection
by: Miodrag Zivkovic, et al.
Published: (2022-02-01)

Disturbance Classification Method for Microgrids Based on EEMD-Transformer-SVM
by: Qian Zhou, et al.
Published: (2023-01-01)

Monthly runoff prediction at Baitarani river basin by support vector machine based on Salp swarm algorithm
by: Sandeep Samantaray, et al.
Published: (2022-09-01)

Hybrid self-inertia weight adaptive particle swarm optimisation with local search using C4.5 decision tree classifier for feature selection problems
by: Arfan Ali Nagra, et al.
Published: (2020-01-01)

A Novel Text Classification Technique Using Improved Particle Swarm Optimization: A Case Study of Arabic Language
by: Yousif A. Alhaj, et al.
Published: (2022-06-01)

Innovative Bacterial Colony Detection: Leveraging Multi-Feature Selection with the Improved Salp Swarm Algorithm
by: Ahmad Ihsan, et al.
Published: (2023-11-01)

Using Support Vector Machines and Bayesian Filtering for Classifying Agent Intentions at Road Intersections
by: Aoude, Georges S., et al.
Published: (2009)

HYBRID FEATURE SELECTION AND SUPPORT VECTOR MACHINE FRAMEWORK FOR PREDICTING MAINTENANCE FAILURES
by: Mouna TARIK, et al.
Published: (2023-06-01)

Automatic Classification of Coronary Stenosis Using Feature Selection and a Hybrid Evolutionary Algorithm
by: Miguel-Angel Gil-Rios, et al.
Published: (2023-05-01)

High Performance Classification of Cancer Types with Gene Microarray Datasets: Hybrid Approach
by: Yılmaz ATAY, et al.
Published: (2021-12-01)

Short-term electricity load time series prediction by machine learning model via feature selection and parameter optimization using hybrid cooperation search algorithm
by: Wen-jing Niu, et al.
Published: (2021-01-01)

Penggunaan Feature Selection di Algoritma Support Vector Machine untuk Sentimen Analisis Komisi Pemilihan Umum
by: Imam Santoso, et al.
Published: (2019-12-01)

Feature selection and classification improvement of Kinnow using SVM classifier
by: Sukhpreet Singh, et al.
Published: (2022-12-01)

Research on GA-SVM Based Head-Motion Classification via Mechanomyography Feature Analysis
by: Yue Zhang, et al.
Published: (2019-04-01)

Nonlinear Aircraft Structure Load Model Based on Improved Support Vector Machine Regression
by: TANG Ning, et al.
Published: (2020-10-01)