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Special Section on Artificial Intelligence and Learning Techniques for Future Smart grids (VSI-aisg)

Special Section on Artificial Intelligence and Learning Techniques for Future Smart grids (VSI-aisg)

Journal
Impact Score 5.94

OFFICIAL WEBSITE

Special Issue Information

Submission Deadline: 30-04-2020
Journal Impact Score: 5.94
Journal Name: Computers & Electrical Engineering
Publisher: Computers & Electrical Engineering

Special Issue Call for Papers


Overview:



Global research focus is towards blending Industry 4.0 with Artificial Intelligence, to make the conventional systems smarter. The rush towards adoption of smart grid technologies is increasing. Advanced techniques are also emerging to control and monitor the grids more intelligently. Artificial Intelligence (AI), Industrial Internet of Things 4.0 (IIoT 4.0) and Learning techniques have seen fast evolution and growth in recent years to modernize systems. This will provide the electrical network to support new-generation energy management systems and fully renewable-based resources for zero emission. Adoption of AI, IIoT 4.0, and learning techniques help the grid for automation, health monitoring, fault-tolerance, self-recovery, efficient integration of renewable energy sources, efficient transmission, efficient distribution, and efficient demand response. Further, adoption of IIoT 4.0 becomes an important tool for Industrial Revolution 4.0. Recent research aims to focus on developing smart sensors using AI algorithms for large databases of grid parameters and renewables in common cloud platforms. Sustainable solutions which are of focus to AI and learning techniques will drive the smart grid to the next level, which gives rise to novel research and challenges with the realization of multi-domain influence and smarter solution for futuristic crises.



The aim of this special section is to bring out the research and insights of applications of AI and learning techniques to smart grid technologies. Also, the applications of Deep Learning, Machine Learning, Natural Learning Process (NLP), Advanced Optimization techniques, Cloud-based Computing, Support Vector Machine (SVM) algorithms, and data analytics to smart grids are investigated. This special section will provide an insight into the board spectrum in ongoing research of future smart grids.



Topics:



Suggested topics include:




  • New Smart Grid configuration includes Service Oriented Architecture (SOA) and Multi Agents (MAS) Architecture.


  • Artificial Intelligence for Smart Grid


  • Machine learning for Smart Grid


  • Deep Learning applications to Smart Grid


  • Natural Learning Process


  • Control and optimization using AI and learning techniques


  • Artificial Intelligence-based simulations


  • Cyber Physical Energy Systems


  • Data analytics and forecasting


  • Secure and resilient infrastructure for smart grids


  • Demand-side management and response


  • Data analysis, simulation and assessment studies from test beds and real-time implementations


  • New development in Industrial Internet of Things 4.0 (IIoT 4.0)


  • New Cooperative frame work and model for Smart Grid


  • Adoption of Blockchain technologies for Smart Grid


  • Cloud services and trust management for Smart Grid



Submission Guidelines:



Unpublished manuscripts, or extended versions of papers presented at related conferences, are welcome. Submissions must not be currently under review for publication elsewhere. Conference papers may be submitted only if they are completely re-written or substantially extended (more than 50%), and must be referenced. All submitted papers will be peer-reviewed using the normal standards of CAEE. By submitting a paper to this issue, the authors agree to referee one paper (if asked) within the time frame of the special issue.



Before submission, authors should carefully read the Guide for Authors available at https://www.journals.elsevier.com/computers-and-electrical-engineering



Authors should submit their papers through the journal's web submission tool at



evise.com/profile/#/COMPELECENG/login by selecting “SI-aisg” from the “Issues” pull-down menu during the submission process. For additional questions, contact the Main Guest Editor.



Schedule:



Submission of manuscript : April 30, 2020



First notification : June 25, 2020



Submission of revised manuscript : July 30, 2020



Final notification : September 30, 2020



Final paper due : October 30, 2020



Publication : January 2021



Guest Editors:



Dr. Sanjeevikumar Padmanaban, (Main Guest Editor)

Department of Energy Technology,

Aalborg University, Esbjerg, Denmark.

Email: [email protected]



Prof. Jens Bo Holm-Nielsen

Department of Energy Technology,

Aalborg University, Esbjerg, Denmark.

E-mail: [email protected]



Dr. S. Balamurugan

Director - Research and Development,

Intelligent Research Consultancy Services (iRCS)

Coimbatore, Tamilnadu, India.

Email: [email protected]



Dr. Sanjeevikumar Padmanaban,

Department of Energy Technology,

Aalborg University, Esbjerg, Denmark.

Email: [email protected]



Biography: Sanjeevikumar Padmanaban (M’12–SM’15) received the bachelor’s degree in electrical engineering from the University of Madras, Chennai, India, in 2002, the master’s degree (Hons.) in electrical engineering from Pondicherry University, Puducherry, India, in 2006, and the Ph.D. degree in electrical engineering from the University of Bologna, Bologna, Italy, in 2012. He was an Associate Professor with VIT University from 2012 to 2013. In 2013, he joined the National Institute of Technology, India, as a Faculty Member. In 2014, he was invited as a Visiting Researcher at the Department of Electrical Engineering, Qatar University, Doha, Qatar, funded by the Qatar National Research Foundation (Government of Qatar). He continued his research activities with the Dublin Institute of Technology, Dublin, Ireland, in 2014. He was an Associate Professor with the Department of Electrical and Electronics Engineering, University of Johannesburg, Johannesburg, South Africa, from 2016 to 2018. Since 2018, he has been a Faculty Member with the Department of Energy Technology, Aalborg University, Esbjerg, Denmark. He has authored more than 350 plus scientific papers. S. Padmanaban was the recipient of the Best Paper cum Most Excellence Research Paper Award from IET-SEISCON’13, IET-CEAT’16, IEEE-EECSI’19, IEEE-CENCON’19 and five best paper awards from ETAEERE’16 sponsored Lecture Notes in Electrical Engineering, Springer book. He is a Fellow of the Institution of Engineers, India, the Institution of Electronics and Telecommunication Engineers, India, and the Institution of Engineering and Technology, U.K. He is an Editor/Associate Editor/Editorial Board for refereed journals, in particular the IEEE SYSTEMS JOURNAL, IEEE ACCESS, IET Power Electronics, and Journal of Power Electronics (Korea), and the Subject Editor for the IET Renewable Power Generation, IET Generation, Transmission and Distribution, and FACTS journal (Canada).



Prof. Jens Bo Holm-Nielsen

Department of Energy Technology,

Aalborg University, Esbjerg, Denmark.

E-mail: [email protected]



Biography: Jens Bo Holm-Nielsen received his M.Sc. degree in Agricultural Systems, Crops & Soil Science, from KVL, Royal Veterinary & Agricultural University, Copenhagen, Denmark, in 1980 and Ph. D degree in Process Analytical Technologies for Biogas Systems, Aalborg University, Esbjerg, Denmark, in 2008. He is currently with the Department of Energy Technology, Aalborg University, Esbjerg, Denmark, and Head of the Esbjerg Energy Section. He is the Head of the research group at the Center for Bioenergy and Green Engineering established in 2009. He has vast experience in the field of biorefinery concepts and biogas production–anaerobic digestion. He has implemented projects of bioenergy systems in Denmark with provinces and European states. He was the Technical Advisor for many industries in this field. He has executed many large-scale European Union and United Nations projects in research aspects of bioenergy, biorefinery processes, and the full chain of biogas and green engineering. He has authored more than 300 scientific papers. His current research interests include renewable energy, sustainability, and green jobs for all. Dr. Holm-Nielsen was a member on invitation with various capacities in the committee for over 500 various international conferences and organizer of international conferences, workshops, and training programs in Europe, Central Asia, and China.



Dr. S. Balamurugan

Director - Research and Development

Intelligent Research Consultancy Services (iRCS)

Coimbatore, Tamilnadu, India.

Email: [email protected]



Biography: S. Balamurugan is the Director-Research and Development, Intelligent Research Consultancy Services(iRCS), Coimbatore, Tamilnadu, India. He has published 45 books, 200+ international journals/conferences and 35 patents to his credit. He is the Editor-in-Chief of the Book Series “Artificial Intelligence and Soft Computing for Industrial Transformation”, Scrivener, John Wiley. He is the Editor-in-Chief of Information Science Letters, Natural Sciences Publishing, NSP and International Journal of Robotics and Artificial Intelligence, PRIRS, USA. He is Associate Editor of IEICE Transactions on Information and Systems-Oxford University Press, Cluster Computing- Springer, Simulation- Sage Publishing, Technology and Healthcare- IOS Press, Intelligent IoT Computing, Inderscience, World Journal of Engineering, Emerald. He is also in editorial of International Journal of Intelligent Unmanned Systems, Emerald, International Journal of Automation and Control, Inderscience Publishers, International Journal of Society, Systems and Science, Inderscience Publishers, International Journal of System Dynamics Applications (IJSDA), IGI Global Publishers, International Journal of Service Science, Management, Engineering, and Technology, IGI Global Publishers, International Journal of Knowledge and System Sciences, IGI Global Publishers and several other journals of Taylor & Francis, Inderscience, Emerald, IET, MDPI and Lead Guest Editor of several special issues with Springer, Elsevier and IEEE. He is the recipient of Rashtriya Vidhya Gourav Gold Medal Award and The Best Educationalist Award Hon.Justice O.P Saxena, Supreme Court, New Delhi and the Former Chairman of Minority Council, New Delhi, India. He is the recipient of two Lifetime Achievement Awards. He is the recipient of Dr.A.P.J. Abdul Kalam Sadhbhavana Award form Hon. Balmiki Prasad Singh, Former Governor of Sikkim, Jewel of India Award from Mr Gurpreet Singh, General Secretary, India, Star of Asia Award Mr. Korn Debbaransi, Former Dy. Prime Minister, Thailand, in an International Summit at (Bangkok) Thailand & Pride of Asia Research Excellence Award from Hon. Anant. V. Sheth, Deputy Speaker- Goa Legislative Assembly, Best Director Award. He received the "Active Member CSI National Award". He was awarded the Prestigious Mahatma Gandhi Leadership Award by NRI WELFARE SOCIETY OF INDIA at House of Commons, British Parliament, London, UK. The book he authored on “Machine Learning and Deep Learning Algorithms using MATLAB and PYTHON” won “Best MATLAB Book For Beginners” Award by Book Authority. Dr.S. Balamurugan won the CSI Young IT Professional Award. He is also the recipient of the Best Researcher Award, Certificate of Exceptionalism, Young Scientist Award, Best Young Researcher Award and Outstanding Scientist Award. His biography is listed in "Marquis WHO'S WHO", New Jersey, USA. His professional activities include roles as Editor-in-Chief/Associate Editor/ Editorial Board Member for more than 500+ International Journals/Conferences of high repute and impact. He has been invited as Chief Guest/Resource Person/Keynote Plenary Speaker in many reputed Universities and Colleges at National and International Levels. His research interests include Artificial Intelligence, Augmented Reality, Internet of Things, Big Data Analytics, Cloud Computing, and Wearable Computing. He is a life member of ACM, ISTE and CSI.




Closed Special Issues

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Journal Details
Closing date
G2R Score
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Closing date: 15-10-2021 G2R Score: 5.94
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Closing date: 15-09-2021 G2R Score: 5.94
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Closing date: 15-07-2021 G2R Score: 5.94
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Artificial Intelligence Driven Mobile Edge Computing (VSI-aime)

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Closing date: 10-07-2021 G2R Score: 5.94
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Computers & Electrical Engineering
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Closing date: 30-06-2021 G2R Score: 5.94
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Closing date: 30-06-2021 G2R Score: 5.94
Field Programmable Gate Arrays Applications (VSI-fpga3)

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Computers & Electrical Engineering
Closing date: 27-06-2021 G2R Score: 5.94
Intelligent Approaches in Security and Privacy Computing (VSI-spc)

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Computers & Electrical Engineering
Closing date: 02-06-2021 G2R Score: 5.94
Advances of Machine Learning in Cybersecurity (VSI-mlsec)

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Computers & Electrical Engineering
Closing date: 31-05-2021 G2R Score: 5.94
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Computers & Electrical Engineering
Closing date: 15-05-2021 G2R Score: 5.94
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Computers & Electrical Engineering
Closing date: 20-03-2021 G2R Score: 5.94
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Computers & Electrical Engineering
Closing date: 20-02-2021 G2R Score: 5.94
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Closing date: 15-02-2021 G2R Score: 5.94
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Closing date: 31-12-2020 G2R Score: 5.94
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Computers & Electrical Engineering
Closing date: 31-12-2020 G2R Score: 5.94
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Closing date: 30-12-2020 G2R Score: 5.94
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Closing date: 01-12-2020 G2R Score: 5.94
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Closing date: 30-09-2020 G2R Score: 5.94
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Closing date: 30-09-2020 G2R Score: 5.94
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Closing date: 01-09-2020 G2R Score: 5.94
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Closing date: 31-07-2020 G2R Score: 5.94
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Closing date: 15-07-2020 G2R Score: 5.94
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Closing date: 15-07-2020 G2R Score: 5.94
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Closing date: 30-06-2020 G2R Score: 5.94
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Closing date: 30-06-2020 G2R Score: 5.94
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Closing date: 10-06-2020 G2R Score: 5.94
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Closing date: 31-05-2020 G2R Score: 5.94
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Closing date: 15-05-2020 G2R Score: 5.94
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Closing date: 30-04-2020 G2R Score: 5.94
Special Section on Recent Advancements in Big Data Fusion

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Closing date: 15-02-2020 G2R Score: 5.94
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Closing date: 01-02-2020 G2R Score: 5.94
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Closing date: 25-01-2020 G2R Score: 5.94
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Closing date: 31-12-2019 G2R Score: 5.94
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Closing date: 30-12-2019 G2R Score: 5.94
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Closing date: 30-12-2019 G2R Score: 5.94
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Closing date: 24-12-2019 G2R Score: 5.94
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Closing date: 01-08-2019 G2R Score: 5.94
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Closing date: 15-06-2019 G2R Score: 5.94
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Closing date: 16-05-2019 G2R Score: 5.94
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Closing date: 27-11-2018 G2R Score: 5.94
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Closing date: 01-12-2017 G2R Score: 5.94
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Closing date: 01-11-2017 G2R Score: 5.94
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Computers & Electrical Engineering
Closing date: 01-10-2017 G2R Score: 5.94
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Artificial Intelligence and Computer Vision

Computers & Electrical Engineering
Closing date: 01-10-2017 G2R Score: 5.94
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Computers & Electrical Engineering
Closing date: 30-09-2017 G2R Score: 5.94
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Computers & Electrical Engineering
Closing date: 22-09-2017 G2R Score: 5.94
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Computers & Electrical Engineering
Closing date: 30-08-2017 G2R Score: 5.94
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Computers & Electrical Engineering
Closing date: 25-08-2017 G2R Score: 5.94
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Closing date: 30-06-2017 G2R Score: 5.94
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Computers & Electrical Engineering
Closing date: 01-06-2017 G2R Score: 5.94
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Closing date: 25-02-2016 G2R Score: 5.94
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Closing date: 30-01-2016 G2R Score: 5.94
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