More Web Proxy on the site http://driver.im/

research-article

Recommending energy tariffs and load shifting based on smart household usage profiling

Authors:

Joel E. Fischer,

Sarvapali D. Ramchurn,

Michael Osborne,

Trung Dong Huynh,

Muddasser Alam,

Khaled Bachour,

Enrico Costanza,

Nicholas R. JenningsAuthors Info & Claims

IUI '13: Proceedings of the 2013 international conference on Intelligent user interfaces

Pages 383 - 394

https://doi.org/10.1145/2449396.2449446

Published: 19 March 2013 Publication History

Abstract

We present a system and study of personalized energy-related recommendation. AgentSwitch utilizes electricity usage data collected from users' households over a period of time to realize a range of smart energy-related recommendations on energy tariffs, load detection and usage shifting. The web service is driven by a third party real-time energy tariff API (uSwitch), an energy data store, a set of algorithms for usage prediction, and appliance-level load disaggregation. We present the system design and user evaluation consisting of interviews and interface walkthroughs. We recruited participants from a previous study during which three months of their household's energy use was recorded to evaluate personalized recommendations in AgentSwitch. Our contributions are a) a systems architecture for personalized energy services; and b) findings from the evaluation that reveal challenges in designing energy-related recommender systems. In response to the challenges we formulate design recommendations to mitigate barriers to switching tariffs, to incentivize load shifting, and to automate energy management.

References

[1]

Baker, O. F., Khalil, I., and Kotsis, G. Agents for energy efficiency in ubiquitous environments. Proc. iiWAS '09, ACM Press (2009), 674--677.

Digital Library

[2]

Banerjee, N., Rollins, S., and Moran, K. Automating energy management in green homes. Proc. SIGCOMM HomeNets '11, ACM Press (2011), 19--24.

Digital Library

[3]

Bellotti, V. and Edwards, K. Intelligibility and Accountability: Human Considerations in ContextAware Systems. Human-Comp. Interact. 16, 2 (2001), 193--212.

Digital Library

[4]

Braun, V. and Clark, V. Using thematic analysis in psychology. Qual. Res. in Psych. 3, (2006), 77--102.

[5]

Brynjarsdottir, H., Håkansson, M., Pierce, J., Baumer, E., DiSalvo, C., and Sengers, P. Sustainably unpersuaded: how persuasion narrows our vision of sustainability. Proc. CHI '12, ACM Press (2012), 947--956.

Digital Library

[6]

Bunt, A., Lount, M., and Lauzon, C. Are explanations always important?: a study of deployed, low-cost intelligent interactive systems. Proc. IUI '12, ACM Press (2012), 169--178.

Digital Library

[7]

Darby, S. Making sense of energy advice. Proc. of ECEEE 2003, (2003), 1217--1226.

[8]

MacKay, D. J. C. Sustainable Energy - without the hot air. UIT Cambridge, Ltd, Cambridge, 2009.

[9]

Department of Energy and Climate Change (DECC) and the Office of Gas and Electricity Markets (OfGEM). Smart Metering Implementation Programme. 2011.

[10]

Diaconis, P. Bayesian numerical analysis. In S. G. J. Berger, ed., Statistical Decision. Theory and Related Topics IV. 1988, 163--175.

[11]

Dillahunt, T., Mankoff, J., Paulos, E., and Fussell, S. It's not all about "Green": energy use in low-income communities. Proc. Ubicomp '09, Springer (2009), 255--264.

Digital Library

[12]

Frankcom, N. Household energy bills unaffordable in less than three years. 2012. http://bit.ly/LSE175. Accessed 09/01/2013.

[13]

Froehlich, J. and Findlater, L. The design of ecofeedback technology. Proc. CHI '10, ACM Press (2010), 1999--2008.

Digital Library

[14]

He, H. A., Greenberg, S., and Huang, E. M. One size does not fit all: Applying the Transtheoretical Model to Energy Feedback Technology Design. Proc. CHI '10, ACM Press (2010), 927--936.

Digital Library

[15]

Hledick, R. How green is the smart grid? Electricity 22, 3 (2009), 29--41.

[16]

Ji, T., Tuo-Yu, P., Zhen-Min, Z., and Kai, L. A personalized recommendation model based on the userstate awareness. Proc. 1st IEEE Symposium on Web Society, IEEE (2009), 10--13.

[17]

Kjeldskov, J., Skov, M. B., Paay, J., and Pathmanathan, R. Using mobile phones to support sustainability: a field study of residential electricity consumption. Proc. CHI '12. ACM Press (2012), 2347--2356.

Digital Library

[18]

LeMay, M., Haas, J. J., and Grunter, C. A. Collaborative Recommender Systems for Building Automation. Proc. 42nd Hawaii International Conference on System Sciences, IEEE (2009), 1--10.

Digital Library

[19]

Lima, J. C. D., Rocha, C. C., Augustin, I., and Dantas, M. A. R. A Context-Aware Recommendation System to Behavioral Based Authentication in Mobile and Pervasive Environments. Proc. 9th International Conference on Embedded and Ubiquitous Computing, IEEE (2011), 312--319.

Digital Library

[20]

Moreau, L. and Missier, P. PROV-DM: The PROV Data Model. 2012. http://www.w3.org/TR/prov-dm/ Accessed 09/01/2013.

[21]

O'Donovan, J. and Smyth, B. Trust in recommender systems. Proc. IUI '05, ACM Press (2005), 167--174.

Digital Library

[22]

Parnell, R. and Larsen, O. P. Informing the Development of Domestic Energy Efficiency Initiatives. Env. and Behavior 37, 6 (2005) 787--807.

[23]

Parson, O., Ghosh, S., Weal, M., and Rogers, A. Nonintrusive load monitoring using prior models of general appliance types. Proc. of the 26th AAAI Conference on Artificial Intelligence, AAAI (2012), 356--362.

[24]

Pierce, J. and Paulos, E. Beyond energy monitors: interaction, energy, and emerging energy systems. Proc. CHI '12, ACM Press (2012), 665--674.

Digital Library

[25]

Pu, P., Chen, L., and Hu, R. A user-centric evaluation framework for recommender systems. Proc. RecSys '11, ACM Press (2011), 157--164.

Digital Library

[26]

Ramchurn, S. D., Vytelingum, P., Rogers, A., and Jennings, N. R. Agent-Based Homeostatic Control for Green Energy in the Smart Grid. ACM Trans. Intell. Syst. Technol. 2, 4 Article 35 (2011).

Digital Library

[27]

Ramchurn, S. D., Osborne, M. A., Parson, O., Maleki, S., Rahwan, T., Huynh, T. D., Reece, S., Alam, M., Fischer, J. E., Hines, G., Costanza, E., Moreau, L., Rodden, T., and Roberts, S. AgentSwitch: smart energy tariff selection using agent technology. Proc. AAMAS '13, IFAAMAS (2013).

[28]

Rial, A. and Danezis, G. Privacy-preserving smart metering. Proc. WPES '11, ACM Press (2011), 49--60.

Digital Library

[29]

Scott, J., Brush, A. J. B., Krumm, J., Meyers, B., Hazas, M., Hodges, S. and Villar, N. PreHeat: Controlling Home Heating Using Occupancy Prediction. Proc. UbiComp '11, Springer (2011), 281--290.

Digital Library

[30]

Strengers, Y. A. A. Designing eco-feedback systems for everyday life. Proc. CHI '11, ACM Press (2011), 2135--2144.

Digital Library

[31]

US Department of Energy. Benefits of demand response in electricity markets and recommendations for achieving them. 2006.

[32]

US Department of Energy. The smart grid: an introduction. 2008.

Cited By

Snow SKhan ADay KMatthews B(2024)Household Wattch: Exploring Opportunities for Surveillance and Consent through Families’ Household Energy Use DataACM Transactions on Computer-Human Interaction10.1145/367322831:4(1-30)Online publication date: 19-Sep-2024
https://dl.acm.org/doi/10.1145/3673228
Reyes-Cruz GCraigon PPiskopani ADowthwaite LLu YLisinska JShafipour EStein SFischer J(2024)"Like rearranging deck chairs on the Titanic"? Feasibility, Fairness, and Ethical Concerns of a Citizen Carbon Budget for Reducing CO2 EmissionsProceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency10.1145/3630106.3658904(267-278)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3630106.3658904
vom Scheidt FStaudt P(2024)A data-driven Recommendation Tool for Sustainable Utility Service BundlesApplied Energy10.1016/j.apenergy.2023.122137353(122137)Online publication date: Jan-2024
https://doi.org/10.1016/j.apenergy.2023.122137
Show More Cited By

Index Terms

Recommending energy tariffs and load shifting based on smart household usage profiling
1. Human-centered computing

Recommendations

Load Management for Multiple Datacenters towards Demand Response in the Smart Grid Integrating Renewable Energy
CSAI '18: Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence

Recently, as the renewable and distributed power sources boost, many such resources are integrated into the smart grid as clean energy input. However, since the generation of solar power is intermittent and unstable, the smart grid needs to regulate the ...
Integrating collaborative filtering and matching-based search for product recommendations

Currently, recommender systems (RS) have been widely applied in many commercial e-commerce sites to help users deal with the information overload problem. Recommender systems provide personalized recommendations to users and, thus, help in making good ...
New Recommendation Techniques for Multicriteria Rating Systems

Traditional single-rating recommender systems have been successful in a number of personalization applications, but the research area of multicriteria recommender systems has been largely untouched. Taking full advantage of multicriteria ratings in ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences

IUI '13: Proceedings of the 2013 international conference on Intelligent user interfaces

March 2013

470 pages

ISBN:9781450319652

DOI:10.1145/2449396

General Chair:
Jihie Kim
University of Southern California, USA
,
Program Chairs:
Jeffrey Nichols
IBM Research -- Almaden, USA
,
Pedro Szekely
University of Southern California, USA

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 March 2013

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

IUI '13

Sponsor:

IUI '13: 18th International Conference on Intelligent User Interfaces

March 19 - 22, 2013

California, Santa Monica, USA

Acceptance Rates

IUI '13 Paper Acceptance Rate 43 of 192 submissions, 22%;

Overall Acceptance Rate 746 of 2,811 submissions, 27%

Upcoming Conference

IUI '25

Sponsor:
sigai
sigai

30th International Conference on Intelligent User Interfaces

March 24 - 27, 2025

Cagliari , Italy

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

30
Total Citations
View Citations
546
Total Downloads

Downloads (Last 12 months)18
Downloads (Last 6 weeks)3

Reflects downloads up to 12 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

Snow SKhan ADay KMatthews B(2024)Household Wattch: Exploring Opportunities for Surveillance and Consent through Families’ Household Energy Use DataACM Transactions on Computer-Human Interaction10.1145/367322831:4(1-30)Online publication date: 19-Sep-2024
https://dl.acm.org/doi/10.1145/3673228
Reyes-Cruz GCraigon PPiskopani ADowthwaite LLu YLisinska JShafipour EStein SFischer J(2024)"Like rearranging deck chairs on the Titanic"? Feasibility, Fairness, and Ethical Concerns of a Citizen Carbon Budget for Reducing CO2 EmissionsProceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency10.1145/3630106.3658904(267-278)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3630106.3658904
vom Scheidt FStaudt P(2024)A data-driven Recommendation Tool for Sustainable Utility Service BundlesApplied Energy10.1016/j.apenergy.2023.122137353(122137)Online publication date: Jan-2024
https://doi.org/10.1016/j.apenergy.2023.122137
González ABernardos AGallego CCasar J(2023)Leveraging Smart Meter Data for Adaptive Consumer Profiling18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023)10.1007/978-3-031-42529-5_17(174-184)Online publication date: 31-Aug-2023
https://doi.org/10.1007/978-3-031-42529-5_17
Viaene EKuijer LFunk M(2021)Learning Systems versus Future Everyday Domestic Life: A Designer’s Interpretation of Social Practice ImaginariesFrontiers in Artificial Intelligence10.3389/frai.2021.7075624Online publication date: 30-Jul-2021
https://doi.org/10.3389/frai.2021.707562
Jensen RTeli MJensen SGram MHarboe Sørensen M(2021)Designing Eco-Feedback Systems for Communities: Interrogating a Techno-solutionist Vision for Sustainable Communal EnergyProceedings of the 10th International Conference on Communities & Technologies - Wicked Problems in the Age of Tech10.1145/3461564.3461581(245-257)Online publication date: 20-Jun-2021
https://dl.acm.org/doi/10.1145/3461564.3461581
Yin BLi ZXu JLi LYang XDu Z(2021)Non-intrusive load monitoring algorithm based on household electricity use habitsNeural Computing and Applications10.1007/s00521-021-06088-234:18(15273-15291)Online publication date: 21-May-2021
https://doi.org/10.1007/s00521-021-06088-2
Puente CPalacios RGonzález-Arechavala YSánchez-Úbeda E(2020)Non-Intrusive Load Monitoring (NILM) for Energy Disaggregation Using Soft Computing TechniquesEnergies10.3390/en1312311713:12(3117)Online publication date: 16-Jun-2020
https://doi.org/10.3390/en13123117
Völkel SSchneegass CEiband MBuschek DPaternò FOliver NConati CSpano LTintarev N(2020)What is "intelligent" in intelligent user interfaces?Proceedings of the 25th International Conference on Intelligent User Interfaces10.1145/3377325.3377500(477-487)Online publication date: 17-Mar-2020
https://dl.acm.org/doi/10.1145/3377325.3377500
Nilsson TFischer JCrabtree AGoulden MSpence JCostanza EWakkary RAndersen KOdom WDesjardins APetersen M(2020)Visions, Values, and VideosProceedings of the 2020 ACM Designing Interactive Systems Conference10.1145/3357236.3395476(827-839)Online publication date: 3-Jul-2020
https://dl.acm.org/doi/10.1145/3357236.3395476
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents