Autorentext

Dr. Satya Prakash Yadav (FIETE & SMIEEE) is currently the Associate Professor of the Department of Computer Science and Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, U.P. , India and has completed his Postdoctoral Research Fellow from Federal Institute of Education, Science and Technology of Ceará, Brazil. He has awarded his PhD degree from Dr. A.P.J. Abdul Kalam Technical University (AKTU) (formerly UPTU). Currently, 4 students are working for Ph.D. under his guidance. A seasoned academician having more than 18 years of experience, he has published four books (Programming in C, Programming in C++ and Blockchain and Cryptocurrency) under I.K. International Publishing House Pvt. Ltd. Including Distributed Artificial Intelligence: A Modern Approach, Published December 18, 2020 by CRC Press. He has undergone industrial training programs during which he was involved in live projects with companies in the areas of SAP, Railway Traffic Management Systems, and Visual Vehicles Counter and Classification (used in the Metro rail network design). He is an alumnus of Netaji Subhas Institute of Technology (NSIT), Delhi University. A prolific writer, Dr. Satya Prakash Yadav has published six patents and authored many research papers in web of science indexed journals. Additionally, His area of specialisation is in the areas of Image Processing, Information retrieval and Features extraction. Also, he is a Editor in Chief in Journal of Cyber Security in Computer System & Journal of Soft Computing and Computational Intelligence (MAT journals), Series Editor in DeGruyter International Publisher, Bentham Science and CRC Press, Taylor and Francis Group Publisher (U.S.A).

Vinod Kumar Yadav is a Professor in Electrical Engineering Department, Delhi Technological University, India. His research interests include renewable energy systems, power system planning and optimization, distributed generation and smart grids.Victor Hugo C. de Albuquerque [M'17, SM'19] is a collaborator Professor and senior researcher at the Graduate Program on Teleinformatics Engineering at the Federal University of Ceará, Brazil, and at the Graduate Program on Telecommunication Engineering, Federal Institute of Education, Science and Technology of Ceará, Fortaleza/CE, Brazil.
He has a Ph.D in Mechanical Engineering from the Federal University of Paraíba (UFPB, 2010), an MSc in Teleinformatics Engineering from the Federal University of Ceará (UFC, 2007), and he graduated in Mechatronics Engineering at the Federal Center of Technological Education of Ceará (CEFETCE, 2006). He is a specialist, mainly, in Image Data Science, IoT, Machine/Deep Learning, Pattern Recognition, Robotic.Prof. Dr. Fadi Al-Turjman received his Ph.D. in computer science from Queen's University, Canada, in 2011. He is the advisor to the chairman of the board of trustees on AI and informatics” at Near East University (NEU), Turkey, and the founding dean for AI and Informatics faculty in the same university. Prof. Al-Turjman is the head of Software Engineering Department, and the founding director for the AI and Robotics Institute and the International Research Center for AI and IoT at NEU. He has been awarded the lifetime golden-award of Dr. Suat Gunsel from Near East University for the year 2022, in addition to several other recognitions and best research awards at key international venues. Prof. Al-Turjman is a leading authority in the areas of smart/intelligent IoT systems, wireless, and mobile networks' architectures, protocols, deployments, and performance evaluation in Artificial Intelligence of Things (AIoT). His publication history spans over 650 SCI/E publications, in addition to numerous keynotes and plenary talks at flagship venues. He has authored and edited more than 100 books about AI, cognition, security, and wireless sensor networks' deployments in smart IoT environments, which have been published by well-reputed publishers such as IEEE, Taylor and Francis, Elsevier, IET, and Springer. Prof. Al-Turjman is leading a number of international conferences and workshops in flagship AI and IoT societies. Currently, he serves as a book series editor with distinguished publishers, and the lead guest/associate editor for several top tier journals, including the IEEE Communications Surveys and Tutorials (IF 23.9) and the Elsevier Sustainable Cities and Society (IF 10.8).

Klappentext

Intelligent Control in Smart Energy Systems provides a clear and practical guide to the implementation of Artificial Intelligent (AI) techniques in modern, sustainable energy systems. Building from essential theory to advanced application processes, this book outlines the essential challenge of control for renewable and distributed energy sources and applies a range of AI solutions from deep learning, data-driven decision-making, advanced control, and optimization algorithms for smart grids. Case studies and latest results cover control across design, development, and operation of smart energy systems, touching on control in generation, distribution, and supply.

Catering to newly interdisciplinary researchers as well as those with a basic understanding of AI technologies, this book supports higher-stage undergraduates, graduate students, researchers, and system engineers in implementing best practice control techniques for a sustainable energy grid.

Inhalt

1. Introduction to Smart Energy Systems and Advanced Intelligent Control
2. Power Electronic Components in Smart Energy Systems
3. System Architectures of Intelligent Control in Smart Energy Systems
4. Model-based Intelligent Control in Smart Energy Systems
5. Reinforcement Learning Control in Smart Energy Systems
6. Power Systems Control in Smart Energy Systems
7. Model Predictive Control in Smart Energy Systems
8. Evolutionary Algorithms in Smart Energy Systems
9. Distributed Energy Resource Management
10. Distributed Control and Decision Making
11. Implementing Intelligent Control of Smart Energy Systems
12. Sensor Networks and Data Acquisition in Smart Energy Systems
13. Fault Diagnosis and Safety of Smart Energy Systems
14. Grid Interfacing in Smart Energy Systems
15. Solid-State Relays and Solid-State Circuit Breakers for Smart Energy Systems
16. System Interoperability and Communication
17. Advanced Intelligent Control for Smart Energy Systems
18. Advanced Technologies for Intelligent Control of Smart Energy Systems
19. Applications of Intelligent Control in Smart Energy Systems
20. Artificial Intelligence Control of Energy Management in Photovoltaic Systems
21. Improving Electrical Infrastructure: Smart Energy Systems for Future Power Networks
22. The Environmental Impact of Electronic Waste and Possible Sustainable Treatment Approach
23. Conclusion and Future Directions