Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 267

The DOI matches its Crossref record.

Getting Smart

Santacana, Enrique, Rackliffe, Gary, Tang, Le, Feng, Xiaoming·2010·IEEE Power and Energy Magazine

Abstract

We live in a very critical and exciting time in the evolution of the electric power industry. Society in general and the power industry in particular are faced with the challenges and opportunities of transforming the power grid ushered in by Nicola Tesla some 120 years ago into a smart grid. A smart grid will help the world manage demand growth, conserve energy, maximize asset utilization, improve grid security and reliability, and reduce its carbon footprint. Smart grid technology is not a single silver bullet but a collection of existing and emerging standards-based, interoperable technologies working together. Controllable technologies for supply, demand, power flow, and storage provide the means to implement decisions made by smart control algorithms and thus create value. ABB already provides its customers with many of the smart grid technologies described here and continues to research and develop power control technologies as well as smart grid applications.

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/mpe.2009.935557

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 267

Metadata

Authors
Santacana, E., Rackliffe, G., Tang, L., & Feng, X.
Venue
IEEE Power and Energy Magazine
Published
2010-03
Volume
8
Issue
2
Pages
41-48
ISSN
1540-7977 (ISSN-L)
OpenAlex
W4256153048
Cited by
267
References
0
FWCI
27.66
Type
journal article
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: Getting Smart. https://app.cochat.ai/papers/10.1109/mpe.2009.935557
The paper
Santacana, E., Rackliffe, G., Tang, L., & Feng, X. (2010). Getting Smart. IEEE Power and Energy Magazine. https://doi.org/10.1109/mpe.2009.935557

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.