A Survey on Smart Grid Communication Infrastructures: Motivations, Requirements and Challenges

By Ye Yan, Yi Qian, Hamid R. Sharif, David Warren Tipper. IEEE Communications Surveys and Tutorials, 2013

1,285 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/c24b99bdb1f64140136fac2edc5b95d95f5b1611

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In Control and Systems Engineering

In Electrical and Electronic Engineering

Citations in the corpus

A review of wireless communications for smart grid (2015, background): “Such an integrated distribution system offers greater reliability and robustness as the backup is always available [52,43].”
A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security (2018, background): “in which the electricity between suppliers and consumers is handled smartly to improve efficiency, safety and real-time monitoring [66]–[68].”
A Survey on Energy Internet: Architecture, Approach, and Emerging Technologies (2018, background): “As is known, the emerging smart grid [1]– [6] has been applied at a large scale in different industrial trails,”
A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms (2015, methodology): “of the grid, which are necessary for the implementation of a DR program [62]: Quality of Service—(QoS): The provision of QoS guarantees for the communication technologies used in the smart grid is essential for the smooth implementation of a DR program.”
DC Microgrid Technology: System Architectures, AC Grid Interfaces, Grounding Schemes, Power Quality, Communication Networks, Applications, and Standardizations Aspects (2017, background): “energy, reduce cost, increase reliability, efficiency and transparency [91].”
A Comprehensive Survey on Internet of Things (IoT) Toward 5G Wireless Systems (2020, neutral): “4 [8], [9], [21], [31]–[33], [54], [74], [76], and discussed as follows.”
Online False Data Injection Attack Detection With Wavelet Transform and Deep Neural Networks (2018, background): “One significant concern is their vulnerability to cyber-attacks [3]–[5].”