Advances in Smart Energy Systems (eBook)
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2022
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1st ed. 2023
XIII, 294 Seiten
Springer Nature Singapore (Verlag)
978-981-19-2412-5 (ISBN)
XIII, 294 Seiten
Springer Nature Singapore (Verlag)
978-981-19-2412-5 (ISBN)
This book discusses smart computing techniques which offer an effective solution for investigating and modeling the stochastic behavior of renewable energy generation, operation of grid-connected renewable energy systems, and smart decision-making among alternatives. It also discusses applications of soft computing techniques to make an intelligent decision for optimum use of suitable alternatives which gives an upper hand compared to conventional systems. It includes upgradation of the existing system by embedding of machine intelligence. The authors present combination of use of neutral networks, fuzzy systems, and genetic algorithms which are illustrated in several applications including forecasting, security, verification, diagnostics of a specific fault, efficiency optimization, etc. Smart energy systems integrate a holistic approach in diverse sectors including electricity, thermal comfort, power industry, transportation. It allows affordable and sustainable solutions to solve the future energy demands with suitable alternatives. Thus, contributions regarding integration of the machine intelligence with the energy system, for efficient collection and effective utilization of the available energy sources, are useful for further advanced studies.
This book discusses smart computing techniques which offer an effective solution for investigating and modeling the stochastic behavior of renewable energy generation, operation of grid-connected renewable energy systems, and smart decision-making among alternatives. It also discusses applications of soft computing techniques to make an intelligent decision for optimum use of suitable alternatives which gives an upper hand compared to conventional systems. It includes upgradation of the existing system by embedding of machine intelligence. The authors present combination of use of neutral networks, fuzzy systems, and genetic algorithms which are illustrated in several applications including forecasting, security, verification, diagnostics of a specific fault, efficiency optimization, etc. Smart energy systems integrate a holistic approach in diverse sectors including electricity, thermal comfort, power industry, transportation. It allows affordable and sustainable solutions to solve the future energy demands with suitable alternatives. Thus, contributions regarding integration of the machine intelligence with the energy system, for efficient collection and effective utilization of the available energy sources, are useful for further advanced studies.
Dr. Biplab Das is presently working as Assistant Professor in the Department of Mechanical Engineering, National Institute of Technology Silchar, India. He completed his Ph.D. from NERIST, Itanagar, India, in the year of 2014. Later, he pursued his Postdoctoral Research from University of Idaho, USA. He is the recipient of the prestigious Bhaskara Advance Solar Energy (BASE) Fellowship from IUSSTF and DST, Govt. of India. He is also awarded with 'DBT Associateship' by the Department of Biotechnology, Govt. of India. He has 12+ years of experience in teaching and research and published more than 60 nos. of referred international/national journal/conference papers. Presently, he is actively involved in 08 nos. of ongoing sponsored projects to develop a solar thermal system for North East India, worth 0.268 billion INR, sponsored by SERB, DST, Ministry of Power, and the Ministry of Climate Change, Govt. of India. He is guiding 06 nos. of Ph.D. scholars He has ongoing research activities in collaboration with Jadavpur University, India, IIT Guwahati, India, University of Idaho, USA, Ulster University, UK.
Dr. Ripon Patgiri is Assistant Professor in the Department of Computer Science & Engineering, National Institute of Technology Silchar. He received his Bachelor Degree from Institution of Electronics and Telecommunication Engineers, New Delhi, in 2009, M.Tech. degree from Indian Institute of Technology Guwahati in 2012, and Ph.D. from National Institute of Technology Silchar in 2019. After M.Tech. degree, he joined as Assistant Professor in the Department of Computer Science & Engineering, National Institute of Technology Silchar, in 2013. He has published numerous papers in reputed journals, conferences, and books. His research interests include bloom filters, networking, security, privacy, secrecy, and communication. He is a senior member of IEEE. He is a member of ACM and EAI. He is a lifetime member of ACCS, India. Also, he is an associate member of IETE. He was General Chair of 6th International Conference on Advanced Computing, Networking, and Informatics (ICACNI 2018) and International Conference on Big Data, Machine Learning and Applications (BigDML 2019). He is Organizing Chair of 25th International Symposium on Frontiers of Research in Speech and Music (FRSM 2020) and International Conference on Modeling, Simulations and Applications (CoMSO 2020). He is Convenor, Organizing Chair, and Program Chair of 26th annual International Conference on Advanced Computing and Communications (ADCOM 2020). He is an area editor of the EAI Endorsed Transactions on Internet of Things. He is also an editor in a multi-authored book, titled 'Health Informatics: A Computational Perspective in Healthcare,' in the book series of Studies in Computational Intelligence, Springer. Also, he is writing a monograph book, titled 'Bloom Filter: A Data Structure for Computer Networking, Big Data, Cloud Computing, Internet of Things, Bioinformatics and Beyond,' Elsevier. He is also an editor of contributed volume, 'Principles of Big Graph: In-depth Insight,' Advances in Computers, Elsevier, and 'Principles of Social Networking: The New Horizon and Emerging Challenges,' Smart Innovation, Systems and Technologies (SIST), Springer. He serves an editor of several conference proceedings, including Proceedings of International Conference on Big Data, Machine Learning and Applications (LNNS, Springer, 2021), Modeling, Simulation and Optimization (SIST, Springer, 2021), and Big Data, Machine Learning, and Applications (CCIS, Springer, 2020).
Valentina E. Balas is currently Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, 'Aurel Vlaicu' University of Arad, Romania. She holds a Ph.D. Cum Laude, in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. She is the author of more than 350 research papers in refereed journals and International Conferences. Her research interests are in intelligent systems, fuzzy control, soft computing, smart sensors, information fusion, modeling and simulation. She is Editor-in Chief to International Journal of Advanced Intelligence Paradigms (IJAIP) and to International Journal of Computational Systems Engineering (IJCSysE), the member in Editorial Board member of several national and international journals and is evaluator expert for national, international projects and Ph.D. Thesis. She is Director of Intelligent Systems Research Centre in Aurel Vlaicu University of Arad and Director of the Department of International Relations, Programs and Projects in the same university. She served as General Chair of the International Workshop Soft Computing and Applications (SOFA) in nine editions organized in the interval 2005-2020 and held in Romania and Hungary. She participated in many international conferences as organizer, honorary chair, session chair, member in steering, advisory or international program committees, and keynote speaker. Now she is working in a national project with EU funding support: BioCell-NanoART = Novel Bio-inspired Cellular Nano-Architectures - For Digital Integrated Circuits, 3M Euro from National Authority for Scientific Research and Innovation. She is a member of European Society for Fuzzy Logic and Technology (EUSFLAT), member of Society for Industrial and Applied Mathematics (SIAM) and a senior member IEEE, member in Technical Committee-Fuzzy Systems (IEEE Computational Intelligence Society), chair of the Task Force 14 in Technical Committee-Emergent Technologies (IEEE CIS), member in Technical Committee-Soft Computing (IEEE SMCS). She was past Vice-president (responsible with Awards) of IFSA, International Fuzzy Systems Association Council (2013-2015), is Joint Secretary of the Governing Council of Forum for Interdisciplinary Mathematics (FIM), A Multidisciplinary Academic Body, India, and Recipient of the 'Tudor Tanasescu' Prize from the Romanian Academy for contributions in the field of soft computing methods (2019).
This book discusses smart computing techniques which offer an effective solution for investigating and modeling the stochastic behavior of renewable energy generation, operation of grid-connected renewable energy systems, and smart decision-making among alternatives. It also discusses applications of soft computing techniques to make an intelligent decision for optimum use of suitable alternatives which gives an upper hand compared to conventional systems. It includes upgradation of the existing system by embedding of machine intelligence. The authors present combination of use of neutral networks, fuzzy systems, and genetic algorithms which are illustrated in several applications including forecasting, security, verification, diagnostics of a specific fault, efficiency optimization, etc. Smart energy systems integrate a holistic approach in diverse sectors including electricity, thermal comfort, power industry, transportation. It allows affordable and sustainable solutions to solve the future energy demands with suitable alternatives. Thus, contributions regarding integration of the machine intelligence with the energy system, for efficient collection and effective utilization of the available energy sources, are useful for further advanced studies.
| Erscheint lt. Verlag | 31.8.2022 |
|---|---|
| Reihe/Serie | Smart Innovation, Systems and Technologies | Smart Innovation, Systems and Technologies |
| Zusatzinfo | XIII, 294 p. 151 illus., 131 illus. in color. |
| Sprache | englisch |
| Themenwelt | Technik ► Elektrotechnik / Energietechnik |
| Schlagworte | Deep learning • Energy forecasting • Energy harvesting • energy system • machine intelligence • Smart computing • Smart Grid |
| ISBN-10 | 981-19-2412-0 / 9811924120 |
| ISBN-13 | 978-981-19-2412-5 / 9789811924125 |
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