April 25, 2008 article An effective wavelet-based feature extraction method for classification of power quality disturbance signals Electric Power Systems Research DOI: 10.1016/j.epsr.2008.03.002 OpenAlex Authors 0 Author list not loaded yet. Cited by 1 stored of 243 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Influence of Training Data Selection on Data-Driven Power Quality Disturbance Classification Models 2026 International Conference on Smart Energy Systems and Technologies (SEST) conference-paper Engineering Power Quality and Harmonics 0 citations 1 result References 0