July 01, 2026 article Open access Deep learning-based detection of smart grid power quality disturbances using convolutional neural networks and recurrence plot techniques Engineering Research Express DOI: 10.1088/2631-8695/ae84b0 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 1 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 Machine Learning-Based Real-Time Power Quality Disturbance Classification using Kalman Filter Segmentation and Deep Learning 2025 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe) conference-paper Engineering Power Quality and Harmonics 1 citations 1 result