The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Applications of computational intelligence techniques for solving the revived optimal power flow problem
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Citations
Cites
A new optimizer using particle swarm theory
Eberhart, R., & Kennedy, J. (2002) · MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science · doi:10.1109/mhs.1995.494215 · Cited by 16,067
Cited by
Optimal power flow: a bibliographic survey I: Formulations and deterministic methods
Frank, S., Steponavice, I., & Rebennack, S. (2012) · Energy Systems · doi:10.1007/s12667-012-0056-y · Cited by 554
Multi-objective harmony search algorithm for optimal power flow problem
Sivasubramani, S., & Swarup, K. S. (2011) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2010.12.031 · Cited by 332
Optimal power flow: a bibliographic survey II: Non-deterministic and hybrid methods
Frank, S., Steponavice, I., & Rebennack, S. (2012) · Energy Systems · doi:10.1007/s12667-012-0057-x · Cited by 294
Voltage Optimization in PV-Rich Distribution Networks—A Review
Dubravac, M., Fekete, K., Topić, D., & Barukčić, M. (2022) · Applied Sciences · doi:10.3390/app122312426 · Cited by 26
Metadata
- Authors
- AlRashidi, M. R., & El-Hawary, M. E.
- Venue
- Electric Power Systems Research
- Publisher
- Elsevier BV
- Published
- 2009-04
- Volume
- 79
- Issue
- 4
- Pages
- 694-702
- ISSN
- 0378-7796 (ISSN-L)
- OpenAlex
- W2047330803
- Cited by
- 182
- References
- 1
- FWCI
- 5.68
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- AlRashidi, M. R., & El-Hawary, M. E. (2009). Applications of computational intelligence techniques for solving the revived optimal power flow problem. Electric Power Systems Research. https://doi.org/10.1016/j.epsr.2008.10.004
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
