Investigation of power quality disturbances by using 2D discrete orthonormal S-transform, machine learning and multi-objective evolutionary algorithms

Author:

Karasu Seçkin,Saraç Zehra

Funder

Zonguldak Bulent Ecevit University Scientific Research Foundation

Zonguldak Bulent Ecevit University

Publisher

Elsevier BV

Subject

General Mathematics,General Computer Science

Reference49 articles.

1. A critical review of detection and classification of power quality events;Mahela;Renew. Sustain. Energy Rev.,2015

2. Hybrid soft computing techniques for feature selection and parameter optimization in power quality data mining;Manimala;Appl. Soft Comput.,2011

3. A review of power quality problems and solutions in electrical power system;Rojin;Int. J. Adv. Res. Electr., Electron. Instrum. Eng.,2013

4. The Seven Types of Power Problems;Seymour,2005

5. Robust compressive features based power quality events classification with Analog–Digital Mixing Network (ADMN);Wang;Neurocomputing,2016

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