Cloud Computing Applications for Smart Grid: A Survey

By Samaresh Bera, Sudip Misra, Joel J. P. C. Rodrigues. IEEE Transactions on Parallel and Distributed Systems, 2015

420 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering, Information Systems

View Paper: https://www.semanticscholar.org/paper/bcc13cc9eaab994ff0b4cca72f3ee0a434070ad3

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In Control and Systems Engineering

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Citations in the corpus

A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security (2018, methodology): “5) Smart grid The latest development in power grids was achieved by using the IoT platform to construct a smart grid in which the electricity between suppliers and consumers is handled smartly to improve efficiency, safety and real-time monitoring[53-55].”
Review and classification of barriers and enablers of demand response in the smart grid (2017, background): “ICT underpins local metering (to determine DR flexibility and delivery), transactional communications (between DR provider and purchaser) and on-premises automation (to enact DR) [48,49].”
A survey on smart grid technologies and applications (2020, background): “Bulk generation includes generators, plant control system and market services interface; this domain interact with the transmission domains and market operations through the Internet, substation LANs and WANs.”
Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges (2017, background): “The smart grid is a new generation of power grid in which managing and distributing electricity between suppliers and consumers is upgraded using two-way communication technologies and computing capabilities to improve reliability, safety, efﬁciency with real-time control, and monitoring [73], [74].”
A Survey on Smart Grid Cyber-Physical System Testbeds (2017, background): “However, the tightly coupled networked structure of the smart grid necessities a comprehensive testbed vision [20], [21] to be able to facilitate experiments simultaneously.”
Software-Defined Networking for Internet of Things: A Survey (2017, background): “Typically, an IoT architecture consists of several sensor and RFID nodes forming large-scale distributed embedded systems for different real-time applications such as smart health-care [6], [7], intelligent transportation systems [8], and smart energy systems [9]–[11].”
Internet of Things for Smart Healthcare: Technologies, Challenges, and Opportunities (2017, background): “Several related works have surveyed the literature on using cloud technologies for IoT purposes such as smart grid [115] and mobile cloud computing for smart-”
Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges (2018, background): “However, the security problem introduced by cloud computing should be addressed [191].”
Big Data Analytics for Dynamic Energy Management in Smart Grids (2015, methodology): “The cloud computing (CC) model meets the requirements of data and computing intensive SG applications [38,64].”
How Can Edge Computing Benefit From Software-Defined Networking: A Survey, Use Cases, and Future Directions (2017, background): “There are recent surveys on cloud computing [18], [19] and MCC [8], [20]–[22].”