smartgrid3.0: Smart Grid 3.0: Computational and Communication Technologies |
Website | https://sites.google.com/kiit.ac.in/bhargav/books |
Submission link | https://easychair.org/conferences/?conf=smartgrid30 |
Abstract registration deadline | July 15, 2022 |
Submission deadline | November 15, 2022 |
The recent development in computational power, computational algorithms, storage capabilities, and communication infrastructure has led to the modernization of the smart grid. The smart grid is itself an evolved version of the power grid, with enhanced monitoring and control capabilities. It encompasses several applications, such as electric vehicles, wide-area monitoring systems, home automation, advanced metering infrastructure, etc. The emerging computational and communication technologies can be leveraged to scale up the performance of these applications and to improve the quality of life.
This book discusses emerging computational technologies, such as cloud computing, blockchain, deep learning, machine learning, big-data analytics, etc. along with the emerging communication technologies, such as the 5G, internet of things (IoT), long-range (LoRa), wireless sensor networks (WSNs), from the perspective of modernization of smart grid.
Submission Guidelines
Electrical and Computer Engineering Specialists are invited to submit their chapter proposals related to the initial proposed contents by the editors or their own proposals via preparing a chapter proposal using 500-700 words to explain how the proposal fits into the book’s goals and scope.
Chapter proposals should include:
• Proposed chapter title
• Author(s) name, title, full contact information, and institutional affiliation
• Detailed description of the chapter (500-1000 words) including purpose, content, key features
• List of anticipated key references
• Short description of how the chapter will contribute to the book
• Short biography (50-100 words) of contributing authors including insight for involved publication in last 3 years.
All the submissions for this book should be sent to: https://easychair.org/cfp/smartgrid3_0
Full Chapter Preparation Guidelines
The length of the chapter should be between 20 to 25 pages. Each chapter must be edited with instructions and guidelines from Springer. Please visit at (http://www.springer.com/gp/authors-editors/book-authors-editors/manuscript-preparation/5636#c5640 ) to read the chapter preparatory guidelines. Use specified MS Word file for preparing the final chapter. Other formats are not acceptable at all. This must be mandatory for each chapter contributor to follow these instructions meticulously at the time of final chapter submission. Roughly edited chapters would not be entertained.
At time of final chapter preparation, do not copy figures/table or any illustration directly from any sources as it violates rule of Copyright Act. If necessary, take permission from respective author(s) of that particular paper or research article using Permission Centre available at URL: (https://www.springer.com/gp/authors-editors/book-authors-editors/obtaining-permissions/5638 )
The submitted full chapters should include:
• Proposed chapter title
• Author(s) name, title, full contact information, and institutional affiliation
• Abstract and Keywords
• Detailed description of the chapter including figures and tables.
• Nomenclature (if it is the case)
• List of abbreviations
• References
• Archive of high-resolution Figures
List of Topics
Interested researchers and academicians are invited to send their chapter proposal along with abstract and tentative table of content (ToC). Following chapters are invited for the book title mentioned above:
YOUR ANY RELATED TOPICS AND PROPOSED TITLES AND CHAPTERS WILL BE CHECKED AND INCLUDED.
List of the chapters:
1 Smart Grid 3.0: Grid with Proactive Intelligence
2. Blockchain for Smart Meters, Home Automation and Electric vehicles
3. Machine Learning Based Approaches for Transmission Line Fault Detection Using Synchrophasor Measurements
4. Emerging Communication Technologies for V2X: Standards and Protocols
5. Machine Learning and Deep Learning Approaches for Energy Management in Smart Grid 3.0
6. Big Data Analytics for Enhanced Situational Awareness in Smart Grid 3.0
7. Evolutionary Algorithms for Load Frequency Control in Renewable Microgrids
8. Smart Cities: Communication Standards, Protocols, and Emerging Technologies
9. Internet of Things for Smart Homes and Smart Cities
10. Internet of Things Enabled Energy Management Systems in Renewable Microgrids
11. LoRa for vehicular communications in a smart grid
12. Wireless sensor networks for smart grid
Publication
This book has been accepted to be published by Springer Nature (http://www.springernature.com) and would be available at Springer Link Library. It is will be indexed in Scopus and the Publisher agrees to provide the corresponding authors of each Chapter with one printed copy of the book. For more information, please visit: https://link.springer.com
Contact
All questions about submissions should be emailed to
Bhargav APPASANI, Ph.D. (Engg.), MIEEE
Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha, India
bhargav.appasanifet@kiit.ac.in
Nicu BIZON, Prof., SMIEE
University of Pitesti, Pitesti, Romania
nicubizon@yahoo.com