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IEEE Transactions on Cloud Computing (TCC) is dedicated to the multidisciplinary field of cloud computing. It is committed to the publication of articles that present innovative research ideas, application results, and case studies in cloud computing, focusing on key technical issues related to theory, algorithms, systems, applications, and performance. This title also considers submissions on X as a Service, where X may be infrastructure, storage, network, platform, database, information, security, management, software, mobile backend, or business process of energy control center platforms. Phasor measurement units (PMU) data platform and data exchange are the key features across control areas that would enable machine learning on grid control and stabilization.
It is essential to digitalize the smart grid with distributed energy resources (DER), which play a significant role in energy efficiency and reconfiguration against massive catastrophe. However, with a large number of DERs integrated into the smart grid from transmission systems to distribution networks, the system reliability is facing a serious challenge due to the intermittency of renewables. To improve system reliability, advanced metering infrastructure (AMI) and Internet of Things (IoT) devices are widely deployed into smart grids for collecting huge amounts of information about the system status in real time, which requires computationally efficient technologies for the close-to-real-time prognosis of continent-wide anomalies.
Transmission/distribution control centers can also benefit from cloud-edge-end orchestrated computing, which could enable innovative operational strategies for hierarchical management in order to achieve interactive functions, such as multi-level control and optimization of all-grid-level DERs, voltage and frequency regulation using PMU, special protection schemes (SPS) to infer potential fault or cyber-attacks, etc. In this special section, we aim to publish state-of-the-art research and engineering practice, including new theories, applications, and case studies about cloud-edge-end orchestrated computing for future control center application of proactive distribution/transmission systems in smart grids.
Topics of interest pertaining to cloud-edge-end orchestrated computing include, but are not limited to:
This special section solicits original work that is not under consideration for publication in other venues. One- or two-page extended abstracts are required for the first round of reviews. Authors of selected extended abstracts will be invited to submit full papers in the second round. Authors should refer to TCC guidelines for information on content and formatting of submissions. Please submit a PDF version of the extended abstract via e-mail to drl@zju.edu.cn before the deadline. Full papers should be submitted to https://mc.manuscriptcentral.com/tcc-cs.
April 1, 2021: Deadline for submission of extended abstracts (one or two pages) via e-mail
May 15, 2021: Decision notification for inviting full paper submissions
August 1, 2021: Deadline for submission of full papers via Manuscript Central
January 1, 2022: Notification of final decisions
January 15, 2022: Publication materials due
Prof. Ruilong Deng (Guest Editor in Chief), Zhejiang University, China, drl@zju.edu.cn
Prof. Chee-Wooi Ten, Michigan Technological University, USA, ten@mtu.edu
Prof. Chaojie Li, University of New South Wales, Australia, chaojie.li@unsw.edu.au
Prof. Dusit Niyato, Nanyang Technological University, Singapore, dniyato@ntu.edu.sg
Prof. Fei Teng, Imperial College London, UK, f.teng@imperial.ac.uk
Prof. Yuanyuan Yang, Stony Brook University, NY, USA, yuanyuan.yang@stonybrook.edu
