Domesticating Energy-Monitoring Systems: Challenges and Design Concerns
Open accessAbstract
Energy-monitoring technologies with persuasive interfaces could inspire sustainable-energy lifestyles in the home. The Digital Home Energy Management System (Dehems) project is a wide-scale, government-policy-driven system deployment based on user-driven innovation methodology that assesses user experiences and preferences early on. This approach lets the system provide more value to domestic-energy consumers and effect positive behavior change. Drawing on their experience in developing and deploying the pilot Dehems system and engaging with householders, the authors specify design concerns and the challenges for domesticating energy-monitoring technologies.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Household energy disaggregation breaks down overall electricity consumption into energy use by individual appliances, which can help facilitate behavior change.
“Household energy disaggregation breaks down overall electricity consumption into energy use by individual appliances (see also Section 4.1) [33], which can help facilitate behavior change [772].”
From Tackling climate change with machine learning (2023) · cites this paper as [772]
The citation lists haven’t been fetched yet
References 13 · Cited by 59
- Authors
- Sundramoorthy, V., Cooper, G., Linge, N., & Liu, Q.
- Affiliations
- University of Salford (GB)
- ORCID
- Linge, Nigel
- Venue
- IEEE Pervasive Computing
- Published
- 2011-01
- Volume
- 10
- Issue
- 1
- Pages
- 20-27
- ISSN
- 1536-1268 (ISSN-L)
- OpenAlex
- W1975484691
- Cited by
- 59
- References
- 13
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 1 · 2022: 4 · 2021: 1 · 2020: 1 · 2019: 4 · 2018: 4 · 2017: 3 · 2016: 7 · 2015: 6 · 2014: 9 · 2013: 9 · 2012: 5
- FWCI
- 10.01
- Type
- journal article
- Language
- en
- Open access
- green
- zenodo.org
- Locations
- IEEE Pervasive Computing (publishedVersion)
- Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, other-oa)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Environmental Education and Sustainability
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Keywords
- energy consumption monitoring, home energy management systems, user innovation, user experience, behavior change, home automation, system deployment, design challenges
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
