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Cited by 474

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

State estimation for real-time monitoring of distribution systems

Baran, M.E., Kelley, A.W.·1994·IEEE Transactions on Power Systems
DOI 10.1109/59.336098
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Abstract

Utilities currently use historical customer load data to forecast the loads in their distribution feeders for real-time feeder analysis and control. In this paper a three-phase state estimation method is developed to increase the accuracy of this load data. The method is based on the weighted least square approach and uses a three-phase node voltage formulation. The method can handle power, voltage, and current measurements. Test results indicate that state estimation can improve the forecasted load data by using real-time measurements. The effectiveness of branch current measurements were also tested.>

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Metadata

Authors
Baran, M. E., & Kelley, A. W.
Venue
IEEE Transactions on Power Systems
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
1994
Volume
9
Issue
3
Pages
1601-1609
ISSN
0885-8950 (ISSN-L)
DOI
10.1109/59.336098
OpenAlex
W2166569007
Cited by
474
References
8
FWCI
5.37
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: State estimation for real-time monitoring of distribution systems. https://app.cochat.ai/papers/10.1109/59.336098
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Baran, M. E., & Kelley, A. W. (1994). State estimation for real-time monitoring of distribution systems. IEEE Transactions on Power Systems. https://doi.org/10.1109/59.336098

Data sources

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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.