Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 263

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Demand Response From Household Customers: Experiences From a Pilot Study in Norway

Saele, Hanne, Grande, Ove S.·2011·IEEE Transactions on Smart Grid

Abstract

This paper presents experiences from a pilot study focusing on daily demand response from households, utilizing smart metering, remote load control, pricing based on the hourly spot price combined with a time of day network tariff, and a token provided to the customers indicating peak hours. The observed demand response was 1 kWh/h for customers with standard electrical water heaters. By aggregating this response, the potential for demand response from 50% of Norwegian households can be estimated at 1000 MWh/h (4.2% of registered peak load demand in Norway). A cost-effective realization of this potential should have high focus when considering smart metering technology. From a market perspective, a potential load reduction of this size should be bid into the day ahead market. Demand response to price (the day after) will not affect the price, but might create imbalances and the need for activating balancing resources, creating additional costs.

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/tsg.2010.2104165

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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

Cites

Show all 1 references

Cited by

See all 263

Metadata

Authors
Saele, H., & Grande, O. S.
Venue
IEEE Transactions on Smart Grid
Published
2011-03
Volume
2
Issue
1
Pages
102-109
ISSN
  • 1949-3053 (ISSN-L)
  • 1949-3061
OpenAlex
W2163987910
Cited by
263
References
1
FWCI
20.50
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: Demand Response From Household Customers: Experiences From a Pilot Study in Norway. https://app.cochat.ai/papers/10.1109/tsg.2010.2104165
The paper
Saele, H., & Grande, O. S. (2011). Demand Response From Household Customers: Experiences From a Pilot Study in Norway. IEEE Transactions on Smart Grid. https://doi.org/10.1109/tsg.2010.2104165

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.