[ogsa-wg] CFP: SI on Empowering Sustainable Energy Infrastructures via AI-Assisted Wireless Communications - IEEE WCM

[Moayad Aloqaily]

*Empowering Sustainable Energy Infrastructures via AI-assisted Wireless
Communications*
IEEE Wireless Communications
https://www.comsoc.org/publications/magazines/ieee-wireless-communications/cfp/empowering-sustainable-energy

Global energy demands will no longer be met using conventional energy
infrastructures, and hence can only be achieved through sustainable
renewable energy systems that are supported by cyber-physical technologies.
The shift from conventional energy sources towards sustainability is clear,
leading to the emergence of prosumers (i.e. producers and consumers) which
are capable of both generating and consuming energy. Today, many buildings
are now equipped with solar panels that can contribute to the overall
energy needs. Power systems need to adopt renewable energy to provide more
efficient and sustainable operations.

Providing and maintaining sustainable power systems and energy solutions
are only achievable through intelligent sensing, monitoring and wireless
communications. Today’s advancements in intelligent learning techniques
such as deep and reinforcement learning coupled with fast and reliable
wireless communications such as 5G, provide great opportunities for new
business models for energy providers to improve the way the providers
communicate with the grid. Such intelligent learning techniques can for
instance determine when and for how long can producers provide and sell
power to the grid to maximize their profits and achieve sustainable energy
production results. Such learning techniques require fast and reliable
wireless communications with different entities in the system. Therefore,
the coupling of ultra-fast and reliable wireless communications with
intelligent learning will provide sustainable energy solutions for the near
future markets.

This special issue considers the adaptation of intelligent learning
techniques within wireless networks to enable sustainable power system
management. The special issue aims to foster the dissemination of
high-quality research with emerging ideas, approaches, theories,
frameworks, and practices to tackle the challenging issues related to
energy sustainability and power provisioning via the smart grid using
wireless networks and intelligent learning methods. Researchers,
developers, and industry experts are welcome to contribute to one of the
following topics or closely aligned ones:

*Topics of Interest*

This special issue aims to foster the dissemination of high-quality
research with emerging ideas, approaches, theories and practice to resolve
the challenging issues related to energy-efficiency in the wireless network
domain. Researchers, developers, and industry experts are welcome to
contribute to one of the followings topics or slightly similar ones:

•             Utilizing wireless networks to manage sustainable energy
infrastructure.

•             Application of AI and wireless communications in the energy
production sector.

•             Future generation wireless networks for sustainable power
delivery.

•             Utilizing AI and wireless networks to monitor and analyze
real-time power gird data.

•             Optimizing the use of mobile edge computing resources to
enhance sustainable power infrastructures.

•             Intelligent learning-driven power infrastructure via wireless
communications.

•             Modeling and performance analysis of sustainable energy
systems enabled by AI-assisted wireless communications.

•             Peer-to-Peer energy trading solutions using blockchain via
wireless communications.

•             Securing the energy infrastructure using federated learning
via wireless communications.

•             Energy management strategies for electric and plug-in hybrid
electric vehicles through wireless communications.

•             Aeriel communication strategies to enhance sustainable power
infrastructures.

•             Design of aerial-ground cooperative communication solutions
for sustainable power delivery.

•             Edge communication and intelligence to support sustainable
energy infrastructures.



*Submission Guidelines:*

Prospective authors should prepare their submissions in accordance with the
rules specified in the Information for Authors of the IEEE Wireless
Communications guidelines (
https://www.comsoc.org/publications/magazines/ieee-wireless-communications/paper-submission).
Authors should submit a PDF version of their complete manuscript to
https://mc.manuscriptcentral.com/ieee-wcm. The timetable is as follows:

•       Manuscript Submission Deadline: *15 March 2021*

•       Initial Decision Date: 1 June 2021

•       Revised Manuscript Due: 1 July 2021

•       Final Decision Date: 1 August 2021

•       Final Manuscript Due: 15 October 2021

•       Publication Date: December 2021



*Guest Editors*

·        *Moayad Aloqaily*

·        *Salil Kanhere*

·        *Yang Xiao*

·        *Ismaeel Al Ridhawi*

·        *Wael Guibene*

*Best Regards*
*Moayad Aloqaily, Ph.D., P.Eng.*
*http://icnetlab.org/MA/ <http://icnetlab.org/MA/>*
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