Intelligent islanding detection framework for smart grids using wavelet scalograms and HOG feature fusion.

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Title: Intelligent islanding detection framework for smart grids using wavelet scalograms and HOG feature fusion.
Authors: Pal K; Department of Electrical Engineering, National Institute of Technology, Jamshedpur, 831014, India., Namrata K; Department of Electrical Engineering, National Institute of Technology, Jamshedpur, 831014, India., Akella AK; Department of Electrical Engineering, National Institute of Technology, Jamshedpur, 831014, India., Samadhiya A; Department of Electrical and Electronics Engineering, School of Engineering and Technology, Sandip University, Nashik, 422213, India., Azar AT; College of Computer and Information Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia.; Automated Systems and Computing Lab (ASCL), Prince Sultan University, Riyadh 11586, Saudi Arabia., Tounsi M; College of Computer and Information Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia.; Automated Systems and Computing Lab (ASCL), Prince Sultan University, Riyadh 11586, Saudi Arabia., Soliman NF; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia., El-Shafai W; College of Computer and Information Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia. eng.waled.elshafai@gmail.com.; Automated Systems and Computing Lab (ASCL), Prince Sultan University, Riyadh 11586, Saudi Arabia. eng.waled.elshafai@gmail.com.; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt. eng.waled.elshafai@gmail.com.
Source: Scientific reports [Sci Rep] 2025 Aug 19; Vol. 15 (1), pp. 30351. Date of Electronic Publication: 2025 Aug 19.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2045-2322
DOI:10.1038/s41598-025-08391-7