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Multivariate feature extraction based supervised machine learning for fault detection and diagnosis in photovoltaic systems., , , , , , and . Eur. J. Control, (2021)Fault detection in photovoltaic systems using machine learning technique., , , , , , and . SSD, page 207-212. IEEE, (2020)Efficient Fault Detection and Diagnosis in Photovoltaic System Using Deep Learning Technique., , , , , , and . CoDIT, page 1336-1341. IEEE, (2022)Implementation of Genetic Algorithm Optimization based Artificial Neural Network on Raspberry Pi for Fault Diagnosis., , , , , and . CoDIT, page 2995-3001. IEEE, (2024)Raspberry Pi-Based Monitoring System for Grid-Connected PV Systems using Deep Learning Technique., , , , , and . CoDIT, page 3002-3008. IEEE, (2024)Fault Classification using Deep Learning in a Grid-Connected Photovoltaic Systems., , , , , and . CoDIT, page 1312-1317. IEEE, (2022)Fault diagnosis of uncertain photovoltaic systems using deep recurrent neural networks based Lissajous curves., , , , , and . Comput. Electr. Eng., (2025)Modeling of permanent magnet linear generator and state estimation based on sliding mode observer: A wave energy system application., , , , and . Kybernetika, 59 (5): 655-669 (2023)Effective Fault Diagnosis in Grid Connected Photovoltaic Systems Using Multiscale PCA based Artificial Neural Network Technique., , , , , and . CoDIT, page 1318-1323. IEEE, (2022)Kernel PCA based BiLSTM for Fault Detection and Diagnosis for Wind Energy Converter Systems., , , , , and . CoDIT, page 1342-1347. IEEE, (2022)