The DOI matches its Crossref record.
Power Distribution Planning Reference Book
Abstract
Providing more than twice the content of the original edition, this new edition is the premier source on the selection, development, and provision of safe, high-quality, and cost-effective electric utility distribution systems, and it promises vast improvements in system reliability and layout by spanning every aspect of system planning including l
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“From assessing the yearly load profiles for each of the households on the network, the coincidence factor was found to be 0.32, which compares favourably with similar residential networks [23].”
From Optimal Charging of Electric Vehicles in Low-Voltage Distribution Systems (2012) · cites this paper as [23]
In the citing paper
“It is common practice to model residential loads in this manner when exact information on the load type is not available [23].”
From Optimal Charging of Electric Vehicles in Low-Voltage Distribution Systems (2012) · cites this paper as [23]
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Cited by
Analytic Considerations and Design Basis for the IEEE Distribution Test Feeders
Schneider, K. P., Mather, B. A., Pal, B. C., Ten, C.-W., Shirek, G. J., Zhu, H., Fuller, J. C., Pereira, J. L. R., Ochoa, L. F., de Araujo, L. R., et al. (2018) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2017.2760011 · Cited by 710
Optimal Charging of Electric Vehicles in Low-Voltage Distribution Systems
Richardson, P., Flynn, D., & Keane, A. (2012) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2011.2158247 · Cited by 566
Richardson, P., Flynn, D., & Keane, A. (2012) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2012.2185523 · Cited by 261
Impact assessment of varying penetrations of electric vehicles on low voltage distribution systems
Richardson, P., Flynn, D., & Keane, A. (2010) · IEEE PES General Meeting · doi:10.1109/pes.2010.5589940 · Cited by 196
Melhorn, A. C., McKenna, K., Keane, A., Flynn, D., & Dimitrovski, A. (2017) · IET Generation, Transmission & Distribution · doi:10.1049/iet-gtd.2016.0652 · Cited by 22
Metadata
- Authors
- Willis, H. L.
- Corresponding author
- Willis, H. Lee
- Venue
- CRC Press eBooks
- Publisher
- CRC Press
- Published
- 2004-03-01
- OpenAlex
- W3118220005
- Cited by
- 467
- References
- 0
- Citations by year
- 2026: 9 · 2025: 11 · 2024: 10 · 2023: 19 · 2022: 18 · 2021: 31 · 2020: 28 · 2019: 29 · 2018: 38 · 2017: 41 · 2016: 39 · 2015: 30 · 2014: 30 · 2013: 29 · 2012: 30
- FWCI
- 3.89
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- CRC Press eBooks (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Power System Reliability and Maintenance
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid and Power Systems
- Keywords
- distribution system design, system reliability, power system planning
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Power Distribution Planning Reference Book. https://app.cochat.ai/papers/10.1201/9781420030310
- The paper
- Willis, H. L. (2004). Power Distribution Planning Reference Book. CRC Press eBooks. https://doi.org/10.1201/9781420030310
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.
