Hybrid Energy Systems and AI Integration
Description
This book presents cutting-edge research and practical innovations in the field of mechatronic systems, particularly focusing on hybrid energy systems and AI integration. It addresses both theoretical foundations and real-world applications, ranging from artificial intelligence and hybrid energy systems to diagnostics, robotics, and control strategies. This book offers a substantial contribution to the academic and engineering community, fostering future advancements and collaborative research opportunities.
More details
Person
Dr. Aydin Azizi holds a Ph.D. in mechanical engineering. Certified as an official instructor for the Siemens Mechatronic Certification Program (SMSCP), he currently serves as a senior lecturer at the Oxford Brookes University. His current research focuses on investigating and developing novel techniques to model, control, and optimize complex systems. Dr. Azizi's areas of expertise include control and automation, artificial intelligence, and simulation techniques.
Content
Parameter Identification of Empirical Models for Head Estimation of Electrical Submersible Pumps for Viscous Fluids.- Vibration-Based Fault Diagnosis in Pipelines Using AI.- Intelligent Control Strategy Optimization of Grid-Connected Hybrid PV-Battery-Supercapacitor Systems Using Machine Learning.- Grid-Friendly Transformers for Renewable Energy Integration.- Advanced Diagnostics Methods For Hybrid Photovoltaic Systems.