Optimal feature selection using modified cuckoo search for classification of power quality disturbances
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Optimal feature selection using modified cuckoo search for classification of power quality disturbances
Authors
Keywords
Power quality disturbances, Wavelet packet transform, Modified cuckoo search, Multiclass support vector machine, Optimal feature selection
Journal
APPLIED SOFT COMPUTING
Volume -, Issue -, Pages 107897
Publisher
Elsevier BV
Online
2021-09-17
DOI
10.1016/j.asoc.2021.107897
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A methodology for detection and classification of power quality disturbances using a real‐time operating system in the context of home energy management systems
- (2020) Wilson L. Rodrigues Junior et al. INTERNATIONAL JOURNAL OF ENERGY RESEARCH
- Power quality disturbances recognition using adaptive chirp mode pursuit and grasshopper optimized support vector machines
- (2020) Shayan Z.T. Motlagh et al. MEASUREMENT
- A classification method for multiple power quality disturbances using EWT based adaptive filtering and multiclass SVM
- (2019) Karthik Thirumala et al. NEUROCOMPUTING
- A Fast Fault Identification in a Grid-Connected Photovoltaic System Using Wavelet Multi-Resolution Singular Spectrum Entropy and Support Vector Machine
- (2019) Ahmadipour et al. Energies
- A novel islanding detection technique using modified Slantlet transform in multi-distributed generation
- (2019) Masoud Ahmadipour et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Detection and classification of power quality disturbances or events by adaptive NFS classifier
- (2019) B. Kiruthiga et al. SOFT COMPUTING
- Novel optimization parameters of power quality disturbances using novel bio-inspired algorithms: A comparative approach
- (2018) S.R. Selva Jeevitha et al. Biomedical Signal Processing and Control
- Complex power quality disturbances classification via curvelet transform and deep learning
- (2018) Hui Liu et al. ELECTRIC POWER SYSTEMS RESEARCH
- Hybrid Approach Based on GA and PSO for Parameter Estimation of a Full Power Quality Disturbance Parameterized Model
- (2018) Marco Antonio Rodriguez-Guerrero et al. IEEE Transactions on Industrial Informatics
- Optimal Feature Selection via NSGA-II for Power Quality Disturbances Classification
- (2018) Utkarsh Singh et al. IEEE Transactions on Industrial Informatics
- Detection of Power Quality Event using Histogram of Oriented Gradients and Support Vector Machine
- (2018) Rajiv Kapoor et al. MEASUREMENT
- Detection and classification of power quality disturbances in wind-grid integrated system using fast time-time transform and small residual-extreme learning machine
- (2018) Manish Kumar Saini et al. International Transactions on Electrical Energy Systems
- Islanding detection technique using Slantlet Transform and Ridgelet Probabilistic Neural Network in grid-connected photovoltaic system
- (2018) Masoud Ahmadipour et al. APPLIED ENERGY
- A new optimal feature selection scheme for classification of power quality disturbances based on ant colony framework
- (2018) Utkarsh Singh et al. APPLIED SOFT COMPUTING
- An Anti-Islanding Protection Technique Using a Wavelet Packet Transform and a Probabilistic Neural Network
- (2018) Masoud Ahmadipour et al. Energies
- Islanding detection method using ridgelet probabilistic neural network in distributed generation
- (2018) Masoud Ahmadipour et al. NEUROCOMPUTING
- Synthesis of Difference Patterns for Monopulse Antennas by an Improved Cuckoo Search Algorithm
- (2017) Xiangtao Li et al. IEEE Antennas and Wireless Propagation Letters
- Comprehensive approach for hybrid AC/DC distribution network planning using genetic algorithm
- (2017) Ali Ghadiri et al. IET Generation Transmission & Distribution
- Application of fractional Fourier transform for classification of power quality disturbances
- (2017) Utkarsh Singh et al. IET Science Measurement & Technology
- Detection and classification of power quality disturbances based on time–frequency-scale transform
- (2017) Utkarsh Singh et al. IET Science Measurement & Technology
- A new optimal feature selection algorithm for classification of power quality disturbances using discrete wavelet transform and probabilistic neural network
- (2017) Suhail Khokhar et al. MEASUREMENT
- Combined VMD-SVM based feature selection method for classification of power quality events
- (2016) Ali Akbar Abdoos et al. APPLIED SOFT COMPUTING
- Disturbance Ratio for Optimal Multi-Event Classification in Power Distribution Networks
- (2016) Maria Dolores Borras et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Detection and Classification of Power Quality Disturbances Using Double Resolution S-Transform and DAG-SVMs
- (2016) Jianmin Li et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- Classification of Power Quality Disturbances via Deep Learning
- (2016) Jian Ma et al. IETE TECHNICAL REVIEW
- An integrated PSO for parameter determination and feature selection of ELM and its application in classification of power system disturbances
- (2015) R. Ahila et al. APPLIED SOFT COMPUTING
- A method based on independent component analysis for single and multiple power quality disturbance classification
- (2015) Danton D. Ferreira et al. ELECTRIC POWER SYSTEMS RESEARCH
- An effective Power Quality classifier using Wavelet Transform and Support Vector Machines
- (2015) D. De Yong et al. EXPERT SYSTEMS WITH APPLICATIONS
- Detection and Classification of Power Quality Disturbances Using Sparse Signal Decomposition on Hybrid Dictionaries
- (2015) M. Sabarimalai Manikandan et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- Estimation of Single-Phase and Three-Phase Power-Quality Indices Using Empirical Wavelet Transform
- (2015) Karthik Thirumala et al. IEEE TRANSACTIONS ON POWER DELIVERY
- A critical review of detection and classification of power quality events
- (2015) Om Prakash Mahela et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Optimal feature selection for classification of the power quality events using wavelet transform and least squares support vector machines
- (2013) Hüseyin Erişti et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- New automated power quality recognition system for online/offline monitoring
- (2013) Mahdi Hajian et al. NEUROCOMPUTING
- Measurement and Classification of Simultaneous Power Signal Patterns With an S-Transform Variant and Fuzzy Decision Tree
- (2012) Milan Biswal et al. IEEE Transactions on Industrial Informatics
- Classification of power quality events – A review
- (2012) Manish Kumar Saini et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Optimal Feature Selection for Power-Quality Disturbances Classification
- (2011) Chun-Yao Lee et al. IEEE TRANSACTIONS ON POWER DELIVERY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started