AI-Powered Analysis, Modeling, and Monitoring of Wind Energy Systems. Dieser Artikel ist nicht verfügbar.AI-Powered Analysis, Modeling, and Monitoring of Wind Energy Systems

Artificial Intelligence (AI) is revolutionizing the way wind energy systems are analyzed and monitored, creating a smarter, more efficient renewable energy sector. By integrating machine learning algorithms and predictive analytics, AI enables operators to forecast wind patterns with greater accuracy and proactively detect faults before they impact productivity. These intelligent systems not only enhance energy output and operational reliability but also reduce maintenance costs and environmental impact. AI-Powered Analysis, Modeling, and Monitoring of Wind Energy Systems examines how AI and advanced analytics are revolutionizing the design, monitoring, and operation of wind energy systems. It explores innovative solutions for improving reliability, fault detection, and grid integration of wind turbines, positioning wind power as a cornerstone of sustainable energy transformation. Covering topics such as AI, energy systems, and wind energy, this book is an excellent resource for researchers, academicians, industrial practitioners, policy makers, and technology developers.

Dr. Jackson J. Justo (PhD): Currently working as a Senior Researcher at ITMO University in Russia and a Senior Lecturer with the Department of Electrical Engineering, University of Dar es Salaam, Tanzania. Received his PhD Degree from Dongguk University, Seoul, South Korea (2015). He was with the University of Pretoria, Pretoria, South Africa (2016 – 2018) as Postdoctoral Research Fellow. His current research interests on: High power converter topology, control systems, condition monitoring and fault detection, grid Integration of renewable power generation, AC and DC microgrid, virtual power plants (VPPs) configurations, Intelligent Control Systems, Electrical Machine Drives, Wireless Power Transfer for Electric Vehicle (EVs) Autonomous Charging Systems. Virtual Energy Storage Systems, and Power System Control, Operation and Dynamics.

Galina Demidova is currently with Hangzhou Dianzi University, China. Previously worked as an Associate Professor with the Faculty of Control Systems and Robotics, ITMO University, and was a Post-Doctoral with the Tallinn University of Technology, Tallinn, Estonia. Her current research interests include control systems, wind turbines, adaptive control, fuzzy logic control, motion control, machine learning, hybrid intelligent systems, genetic algorithms, and electromechanical systems.

Francis A. Mwasilu is currently working with Department of Electrical Engineering, University of Dar es Salaam, Tanzania. From 2008 to 2009 he was an Instrumentation Engineer with Illovo Sugar Ltd, Tanzania. From 2009 to 2011, he was a Utilities Engineer with the Japan Tobacco International, Tanzania. Since July 2016, he has been a Lecturer with the Department of Electrical. His current research interests include digital signal processor-based electric machine drives, electric vehicles, smart grid enabling technologies, and renewable energy sources integration into modern power systems.

Dmitry V. Lukichev is leading lector and scientific researcher, who works with industrial projects in various areas of industry who works at ITMO University in St. Petersburg, Russia. He is also visiting Professor of Changchun University of Technology and Hangzhou Dianzi University, China. His current research interests encompass control systems for both DC and AC drives, adaptive control modelling and application and the implementation of neuro-fuzzy algorithms in the control systems of complex dynamic objects. He is author of about 70 scientific articles. Additionally, Professor Dmitry is actively involved in projects focused on the control of wind turbines and generators, further expanding his contributions to innovative control systems. In this proposed book, Prof. Dmitry will play a crucial role in documenting the chapters, ensuring that every detail is accurately captured before they are forwarded to the quality assurance team for final review.

Ramesh C. Bansal has more than 25 years of diversified experience of scholarship of teaching and learning, accreditation, research, industrial, and academic leadership in several countries. Currently he is a Professor in the Department of Electrical Engineering at University of Sharjah and extraordinary Professor at the University of Pretoria. Previously he was Professor and Group Head (Power) in the ECE Department at University of Pretoria (UP), South Africa. Prior to his appointment at UP, he was employed by the University of Queensland, Australia; University of the South Pacific, Fiji; and BITS Pilani, India. Prof. Bansal has significant experience of collaborating with industry and Government organizations. He has made significant contribution to the development and delivery of BS and ME programmes for Utilities. He has extensive experience in the design and delivery of CPD programmes for professional engineers. He has carried out research and consultancy and attracted significant funding from Industry and Government Organisations. Prof. Bansal has published over 450 journal articles, presented papers at conferences, books, and chapters in books. He has Google citations of over 20,000 with h-index of 67. He has supervised 25 PhD, 5 Post Docs and currently supervising several PhD students. His diversified research interests are in the areas of Renewable Energy (Wind, PV, DG, Micro Grid) and Smart Grid. Professor Bansal is an editor of several highly regarded journals including IEEE Systems Journal, ECPS, SGSE. He is a Fellow and Chartered Engineer IET-UK, Fellow Institution of Engineers (India), Fellow SAIEE, and Senior Member of IEEE-USA. In this proposed book, Prof. Bansal will take the advisory role which include providing necessary inputs and steps to take to successfully accomplish this book project.