Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 176

The DOI matches its Crossref record.

Smart grid communication network capacity planning for power utilities

Wenpeng Luan, Sharp, Duncan, Lancashire, Sol·2010·IEEE PES T&D 2010

Abstract

A reliable communications network is essential for the future smart grid. As power utilities move toward smart grid by implementing smart metering, it is important to plan the communication network with adequate capacity to accommodate future utility growth and new applications. This paper introduces a bottom-ups method for wide area communication network capacity planning. With this method data traffic for all foreseeable future major applications are identified and their hourly traffic profiles are estimated for both “Blue Sky Day” and “Storm Day” scenarios. Forecasts for the number of customers and devices in each region of the utility's service territory are used to derive regional data traffic profiles so the regional capacity requirement can be planned. The traffic is also categorized into different applications such as smart metering; grid monitoring and control; and advanced applications. This allows the utility to develop flexible strategies for building a common communication network based on smart grid implementation plans.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1109/tdc.2010.5484223

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 176

Metadata

Authors
Luan, W., Sharp, D., & Lancashire, S.
Venue
IEEE PES T&D 2010
Publisher
IEEE
Published
2010
Pages
1-4
OpenAlex
W2161694363
Cited by
176
References
0
FWCI
22.27
Type
conference paper
Language
en
Open access
closed

About these checks

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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Smart grid communication network capacity planning for power utilities. https://app.cochat.ai/papers/10.1109/tdc.2010.5484223
The paper
Luan, W., Sharp, D., & Lancashire, S. (2010). Smart grid communication network capacity planning for power utilities. IEEE PES T&D 2010. https://doi.org/10.1109/tdc.2010.5484223

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.