Energy feedback technology: A review and taxonomy of products and platforms

Energy Efficiency

Volumn 7, Issue 3, 2014, Pages 377-399

  Karlin, Beth ^a   Ford, Rebecca ^b   Squiers, Cassandra ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF OTAGO   (New Zealand)

Author keywords

Conservation; Electricity; Feedback; Technology

Indexed keywords

CONSERVATION; DISPLAY DEVICES; ELECTRICITY; ENERGY CONSERVATION; INFORMATION MANAGEMENT; TAXONOMIES;

CLASSIFICATION STRUCTURE; CURRENT STRUCTURE; FEEDBACK CLASSIFICATION; FEEDBACK TECHNOLOGY; INFORMATION PLATFORM; MANAGEMENT NETWORKS; MANAGEMENT PLATFORMS; NETWORKED SENSORS;

FEEDBACK;

ELECTRICITY SUPPLY; ENERGY CONSERVATION; ENERGY EFFICIENCY; EQUIPMENT; PSYCHOLOGY; STRATEGIC APPROACH; TECHNOLOGY ADOPTION;

EID: 84899495046     PISSN: 1570646X     EISSN: 15706478     Source Type: Journal    
DOI: 10.1007/s12053-013-9227-5     Document Type: Article

References (54)

1. Abrahamse, W., Steg, L., Vlek, C., & Rothengatter, T. (2005). A review of intervention studies aimed at household energy conservation. Journal of Environmental Psychology, 25, 273-291.
2. Anderson, W. & White, V. (2009). Exploring consumer preferences for home energy display functionality. Report to the Energy Saving Trust. Centre for Sustainable Energy.
3. Åström, K. J., & Murray, R. M. (2009). Feedback systems: An introduction for scientists and engineers. Princeton: Princeton University Press.
4. Badami, V. V., & Chbat, N. W. (1998). Home appliances get smart. Spectrum, IEEE, 35(8), 36-43.
5. Bandura, A. (1969). Principles of behaviour modification. New York: Hold, Rinehart & Winston.
6. Campion, M. A., & Lord, R. G. (1982). A control systems conceptualization of the goal-setting and changing process. Organizational Behavior and Human Performance, 30, 265-287.
7. Carver, C. S., & Scheier, M. F. (1981). Attention and self-regulation: A control theory approach to human behavior. New York: Springer.
8. Chopra, A. (2011). Modeling a green energy challenge after a blue button. Washington: White House Office of Science and Technology Policy. http://www. whitehouse. gov/blog/2011/09/15/modeling-green-energy-challenge-after-blue-button. Accessed 20 April 2012.
9. Cohen, J. (1960). A coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20, 37-46.
10. Cohen, H., & Lefebvre, C. (2005). Handbook of categorization in cognitive science. New York: Elsevier.
11. Corbin, J., & Strauss, A. (2007). Basics of qualitative research: Techniques and procedures for developing grounded theory (3rd ed.). Thousand Oaks: Sage.
12. Creswell, J. W. (2009). Research design: Qualitative, quantitative, and mixed methods approaches (3rd ed.). Thousand Oaks: Sage.
13. Danahy, J. (2009). The coming smart grid data surge. Blogging the Grid. Retrieved from http://www. smartgridnews. com/artman/publish/News_Blogs_News/The-Coming-Smart-Grid-Data-Surge-1247. html.
14. Darby, S. (2001). Making it obvious: Designing feedback into energy consumption. In Proceedings of the 2nd international conference on energy efficiency in household appliances and lighting. Italian Association of Energy Economists/EC-SAVE programme.
15. Darby, S. (2006). The effectiveness of feedback on energy consumption. A Review for DEFRA of the Literature on Metering, Billing and Direct Displays. Oxford: Environmental Change Institute, University of Oxford.
16. Donahue, G. (2007). Network warrior. O'Reilly Media, Incorporated.
17. Donnelly, K. (2010). The technological and human dimensions of residential feedback: An introduction to the broad range of today's feedback strategies. In People-centered initiatives for increasing energy savings. Washington: ACEEE.
18. Duffy, P. R. (1984). Cybernetics. Journal of Business Communication, 21(1), 33-41.
19. Ehrhardt-Martinez, K., Donnelly, K. A., & Laitner, J. A. (2010). Advanced metering initiatives and residential feedback programs: A meta-review for household electricity-saving opportunities. Washington: American Council for an Energy-Efficient Economy.
20. EPRI. (2009). Residential electricity use feedback: A research synthesis and economic framework. Palo Alto: Electric Power Research Institute Report no. 1016844.
21. Faruqui, A., Harris, D., & Hledik, R. (2010). Unlocking the €53 billion savings from smart meters in the EU: How increasing the adoption of dynamic tariffs could make or break the EU's smart grid investment. Energy Policy, 38(10), 6222-6231.
22. Federal Energy Regulatory Commission. (2008). Assessment of demand response & advanced metering. Staff Report.
23. Fischer, C. (2008). Feedback on household electricity consumption: a tool for saving energy? Energy Efficiency, 1, 79-104.
24. Fitzpatrick, G., & Smith, G. (2009). Technology-enabled feedback on domestic energy consumption: Articulating a set of design concerns. Pervasive Computing, IEEE, 8(1), 37-44.
25. Froehlich, J. (2009). Promoting energy efficient behaviors in the home through feedback: The role of human-computer interaction. HCIC '09 Workshop.
26. Froehlich, J., Findlater, L., Landay, J. (2010). The design of eco-feedback technology. In Proceedings of the 28th international conference on Human factors in computing systems.
27. Goetz, T. (2011). Harnessing the power of feedback loops. Wired Magazine. http://www. wired. com/magazine/2011/06/ff_feedbackloop/all/1. Accessed 20 April 2012.
28. Goyal, S. C. & Bakshi, U. A. (2008). Principles of control systems, Chapter 1. Pune: Technical Publications.
29. Herter, K. (2010). Residential information and controls pilot: Technology review memo - appendix A. El Dorado Hills, CA: Herter Energy Research Slutions.
30. Herter, K., & Wayland, S. (2009). Behavioural experimentation with residential energy feedback through simulation gaming. Sacramento: California Energy Commission.
31. Hochwallner, T., & Lang, L. (2009). Approaches for monitoring and reduction of energy consumption in the home. In Seminar-Thesis: Lecture series on sustainable development and information and communication technology.
32. Hofstede, G. (1978). The poverty of management control philosophy. The Academy of Management Review, 3(3), 450-461.
33. Institute for Electric Efficiency. (2011). Utility-scale smart meter deployments, plans & proposals. Washington: Institute for Electric Efficiency.
34. Karlin, B., & Zinger, J. (2013). Residential energy feedback: a meta-analysis and methodological review. Under review.
35. Klein, H. J. (1989). An integrated control theory model of work motivation. The Academy of Management Review, 14(2), 150-172.
36. Kluger, A. N., & DeNisi, A. (1996). The effects of feedback interventions on performance: a historical review, a meta-analysis, and a preliminary feedback intervention theory. Psychological Bulletin, 119(2), 254-284.
37. LaMarche, J., Cheney, K., Christian, S., & Roth, K. (2011). Home energy management products & trends. Cambridge: Fraunhofer Center for Sustainable Energy Systems.
38. Latham, G. P., & Locke, E. A. (1991). Self-regulation through goal setting. Organizational Behavior and Human Decision Process, 50, 212-247.
39. Lawrence, J. W., Carver, C. S., & Scheier, M. F. (2002). Velocity toward goal attainment in immediate experience as a determinant of affect. Journal of Applied Social Psychology, 32(4), 788-802.
40. Locke, E., & Latham, G. (1990). A theory of goal setting & task performance. Englewood Cliffs: Prentice Hall.
41. Marradi, A. (1990). Classification, typology, taxonomy. Quality and Quantity, 24(2), 129-157.
42. McKerracher, C., & Torriti, J. (2013). Energy consumption feedback in perspective: Integrating Australian data to meta-analyses on in home displays. Energy Efficiency, 6(2), 387-405.
43. Neuendorf, K. A. (2001). The content analysis guidebook. Thousand Oaks: Sage.
44. Podsakoff, P. M., & Farh, J. L. (1989). Effects of feedback sign and credibility on goal setting and task performance. Organizational Behavior and Human Decision Processes, 44, 45-67.
45. Sánchez, M. (2012). Status on the roll-out of Smart Metering in the EU. Presented at the Eurelectric and ESMIG event, Brussels, Belgium.
46. Schultz, P. W. (2010). Making energy conversation the norm. In Ehrhardt-Martinez, K. & Laitner, J. A. (Eds.), People-centered initiatves for increasing energy savings (251-262). Washington, DC: American Council for an Energy Efficient Economy.
47. Skinner, B. F. (1938). The behavior of organisms: An experimental analysis. New York: Appleton-Century.
48. Stein, L. F. (2004). Final report. California information display pilot technology assessment. Boulder: Primen.
49. Stein, L. F., & Enbar, N. (2006). EPRI solutions custom report direct energy feedback technology assessment.
50. Stemler, S. (2001). An overview of content analysis. Practical Assessment, Research & Evaluation, 7(17).
51. Vallacher, R., & Wegner, D. (1987). What do people think they are doing? The presentation of self through action identification. Pyschological Review, 94(1), 3-15.
52. Wiener, N. (1948). Cybernetics: Or the control and communication in the animal and the machine (2nd ed.). Cambridge: MIT Press.
53. Wood, G., & Newborough, M. (2007a). Energy-use information transfer for intelligent homes: Enabling energy conservation with central and local displays. Energy and Buildings, 39(4), 495-503.
54. Wood, G., & Newborough, M. (2007b). Influencing user behaviour with energy information display systems for intelligent homes. International Journal of Energy Research, 31, 56-78.