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Power System Faults Detection Based on Deep Learning and Support Vector Machine Supervised Machine Learning Techniques., , and . CoDIT, page 1190-1195. IEEE, (2022)Control and safety enhancement of a Wind Energy Conversion System., , , and . SSD, page 429-434. IEEE, (2019)Transient stability enhancement and voltage regulation in SMIB power system using SVC with PI controller., , , , and . ICSC, page 115-120. IEEE, (2017)Experimental Analysis for enhancement of unbalanced standalone Wind Energy Conversion System., , , , , and . SSD, page 322-327. IEEE, (2019)An improved Backstepping technique using sliding mode control for transient stability enhancement and voltage regulation of SMIB power system., , , , , and . Int. J. Systems Science, 49 (9): 1964-1973 (2018)Application of Machine Learning algorithms for power systems fault detection., and . ICSC, page 127-132. IEEE, (2021)A real-time Backstepping control strategy for a doubly fed induction generator based wind energy conversion system., , , , , and . ICSC, page 549-554. IEEE, (2017)Modified direct feedback linearization Excitation Controller for transient stability and voltage regulation of SMIB power system., , , , and . ICSC, page 278-282. IEEE, (2018)Experimental control of a Doubly Fed Induction Generator based Wind Energy Conversion System., , , , , and . ICSC, page 142-147. IEEE, (2018)Deep Learning and Support Vector Machine Algorithms Applied for Fault Detection in Electrical Power Transmission Network., and . IntelliSys (3), volume 544 of Lecture Notes in Networks and Systems, page 759-777. Springer, (2022)