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Fault Classification using Deep Learning in a Grid-Connected Photovoltaic Systems., , , , , и . CoDIT, стр. 1312-1317. IEEE, (2022)Multivariate feature extraction based supervised machine learning for fault detection and diagnosis in photovoltaic systems., , , , , , и . Eur. J. Control, (2021)Fault detection in photovoltaic systems using machine learning technique., , , , , , и . SSD, стр. 207-212. IEEE, (2020)Efficient Fault Detection and Diagnosis in Photovoltaic System Using Deep Learning Technique., , , , , , и . CoDIT, стр. 1336-1341. IEEE, (2022)Implementation of Genetic Algorithm Optimization based Artificial Neural Network on Raspberry Pi for Fault Diagnosis., , , , , и . CoDIT, стр. 2995-3001. IEEE, (2024)Raspberry Pi-Based Monitoring System for Grid-Connected PV Systems using Deep Learning Technique., , , , , и . CoDIT, стр. 3002-3008. IEEE, (2024)Influences analysis of geometrical parameters on propulsive force of LSRM., , и . SSD, стр. 1-6. IEEE, (2013)Effective Fault Diagnosis in Grid Connected Photovoltaic Systems Using Multiscale PCA based Artificial Neural Network Technique., , , , , и . CoDIT, стр. 1318-1323. IEEE, (2022)Real-Time Fault Detection Scheme for Industrial Chemical Tennessee Eastman Process., , , , , и . CoDIT, стр. 3015-3020. IEEE, (2024)Kernel PCA based BiLSTM for Fault Detection and Diagnosis for Wind Energy Converter Systems., , , , , и . CoDIT, стр. 1342-1347. IEEE, (2022)