UiTM PROFESSORIAL LECTURE: ARTIFICIAL INTELLIGENCE FOR SOURCE IDENTIFICATION
This book focuses on addressing power quality (PQ) issues through the Excessive Neutral-to-Ground Voltage (ENTGV) source identification approach. From a PQ perspective, there are various causes that lead to the occurrence of ENTGV. The source of ENTGV can be identified or even localised with systematic knowledge acquisition. The formulation of systematic knowledge acquisition in this book is developed through the incorporation approach of the data acquisition, signal processing technique, and Artificial Intelligence (AI). This approach is one of the common approaches which has been developed to tackle different PQ issues worldwide. Data acquisition involves real data monitoring and the development of distribution electrical system modelling. As for ENTGV source identification, the decision-making scheme, which is also known as the output processing scheme, is adopted via the Al-based technique. This resilient approach has been proven to be reliable in tackling PQ issues, as demonstrated by various prominent researchers.
Instructor Biography
Ahmad Farid Abidin is a Professor in electrical engineering at Universiti Teknologi MARA (UiTM). He received a PhD in Electrical Engineering from Universiti Kebangsaan Malaysia in 2011, a Master of Science in Electrical Engineering from Universiti Teknologi MARA in 2005, and a Bachelor of Engineering (Hons) in Electrical, Electronic, and System Engineering from Universiti Kebangsaan Malaysia in 2000. He has held various managerial positions at UiTM and is currently the Dean of the Faculty of Electrical Engineering, Universiti Teknologi MARA. He is actively participating in the Institute of Electrical and Electronics Engineers, Power Engineering Society (PES), where he has served various portfolios in the PES Malaysia Chapter. Additionally, he has been actively involved in the Engineering Accreditation Council (EAC) and Engineering Technology Accreditation Council (ETAC) as an accreditation panel since 2017. To date, he has published over 100 publications, including journal proceedings, technical papers, books, and chapters in books. His research interest is in power quality, signals, and artificial intelligence in power engineering and engineering education.
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