Evidence map›Paper›PMID 25807384›Full record

ArticlePloS one2015

A framework for understanding and generating integrated solutions for residential peak energy demand.

Laurie Buys, Desley Vine, Gerard Ledwich, John Bell, Kerrie Mengersen, Peter Morris, Jim Lewis

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Laurie BuysSchool of Design, Creative Industries Faculty, Queensland University of Technology, Brisbane, Queensland, Australia.
Desley VineSchool of Design, Creative Industries Faculty, Queensland University of Technology, Brisbane, Queensland, Australia.
Gerard LedwichSchool of Electrical Engineer and Computer Science, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Queensland, Australia.
John BellSchool of Chemistry, Physics and Mechanical Engineering, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Queensland, Australia.
Kerrie MengersenSchool of Mathematical and Statistical Sciences, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Queensland, Australia.
Peter MorrisSchool of Design, Creative Industries Faculty, Queensland University of Technology, Brisbane, Queensland, Australia.
Jim LewisSchool of Mathematical and Statistical Sciences, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Supplying peak energy demand in a cost effective, reliable manner is a critical focus for utilities internationally. Successfully addressing peak energy concerns requires understanding of all the factors that affect electricity demand especially at peak times. This paper is based on past attempts of proposing models designed to aid our understanding of the influences on residential peak energy demand in a systematic and comprehensive way. Our model has been developed through a group model building process as a systems framework of the problem situation to model the complexity within and between systems and indicate how changes in one element might flow on to others. It is comprised of themes (social, technical and change management options) networked together in a way that captures their influence and association with each other and also their influence, association and impact on appliance usage and residential peak energy demand. The real value of the model is in creating awareness, understanding and insight into the complexity of residential peak energy demand and in working with this complexity to identify and integrate the social, technical and change management option themes and their impact on appliance usage and residential energy demand at peak times.

Indexed as

ElectricityModels, TheoreticalCosts and Cost Analysis

Identifiers

PMID25807384
PMCPMC4373766

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.