The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
The Power Grid as a complex network: A survey
Open accessAbstract
The statistical tools of Complex Network Analysis are of useful to understand salient properties of complex systems, may these be natural or pertaining human engineered infrastructures. One of these that is receiving growing attention for its societal relevance is that of electricity distribution. In this paper, we present a survey of the most relevant scientific studies investigating the properties of different Power Grids infrastructures using Complex Network Analysis techniques and methodologies. We categorize and explore the most relevant literature works considering general topological properties, physical properties, and differences between the various graph-related indicators and reliability aspects. We also trace the evolution in such field of the approach of study during the years to see the improvement achieved in the analysis.
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Cites
Emergence of Scaling in Random Networks
Barabási, A.-L., & Albert, R. (1999) · Science · doi:10.1126/science.286.5439.509 · Cited by 36,135
Error and attack tolerance of complex networks
Albert, R., Jeong, H., & Barabási, A.-L. (2000) · Nature · doi:10.1038/35019019 · Cited by 7,534
Classes of small-world networks
Amaral, L. A. N., Scala, A., Barthélémy, M., & Stanley, H. E. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.200327197 · Cited by 3,051
Cascade-based attacks on complex networks
Motter, A. E., & Lai, Y.-C. (2002) · Physical Review E · doi:10.1103/physreve.66.065102 · Cited by 1,929
Topology of technology graphs: Small world patterns in electronic circuits
Cancho, R. F. I., Janssen, C., & Solé, R. V. (2001) · Physical Review E · doi:10.1103/physreve.64.046119 · Cited by 265
Cited by
A Critical Review of Robustness in Power Grids Using Complex Networks Concepts
Cuadra, L., Salcedo-Sanz, S., Del Ser, J., Jiménez-Fernández, S., & Geem, Z. (2015) · Energies · doi:10.3390/en8099211 · Cited by 277
Fu, G., Wilkinson, S., Dawson, R. J., Fowler, H. J., Kilsby, C., Panteli, M., & Mancarella, P. (2018) · IEEE Systems Journal · doi:10.1109/jsyst.2017.2700791 · Cited by 92
Preventing advanced persistent threats in complex control networks
Rubio, J. E., Alcaraz, C., & Lopez, J. (2017) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-66399-9_22 · Cited by 27
GridMind: LLMs-Powered Agents for Power System Analysis and Operations
Jin, H., Kim, K., & Kwon, J. (2025) · Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis · doi:10.1145/3731599.3767409 · Cited by 20
Zanin, M., & Wandelt, S. (2023) · Journal of the Air Transport Research Society · doi:10.59521/5e2ddec9fad4593b · Cited by 18
Metadata
- Authors
- Pagani, G. A., & Aiello, M.
- Venue
- Physica A: Statistical Mechanics and its Applications
- Publisher
- Elsevier BV
- Published
- 2013-06
- Volume
- 392
- Issue
- 11
- Pages
- 2688-2700
- ISSN
- 0378-4371 (ISSN-L)
- OpenAlex
- W2113146118
- Cited by
- 813
- References
- 5
- FWCI
- 30.37
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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