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What do experts talk about when they talk about users? Expectations and imagined users in the smart grid

Throndsen, William·2017·Energy Efficiency

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Crossref · 10.1007/s12053-016-9456-5

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Cited by 40

Research works printed but not linked: 46

  1. Abi Ghanem, D., & Mander, S. (2014). Designing consumer engagement with the smart grids of the future: bringing active demand technology to everyday life. Technology Analysis & Strategic Management, 26, 1163–1175. doi: 10.1080/09537325.2014.974531 . · DOI
  2. Akrich, M. (1992). The de-scription of technical objects. In Bijker, E. W. and J. Law., 1994. Shaping technology, building society (pp. 205-224). London: The MIT Press.
  3. Alexander, B. R. (2010). Dynamic pricing? Not so fast! A residential consumer perspective. The Electricity Journal, 23, 39–49. · DOI
  4. Bartusch, C., Wallin, F., Odlare, M., Vassileva, I., & Wester, L. (2011). Introducing a demand-based electricity distribution tariff in the residential sector: demand response and customer perception. Energy Policy, 39, 5008–5025. · DOI
  5. Borlick, R. (2011). Paying for demand-side response at the wholesale level: the small consumers’ perspective. The Electricity Journal, 24, 8–19. · DOI
  6. Borup, M., Brown, N., Konrad, K., & Van Lente, H. (2006). The sociology of expectations in science and technology. Technology analysis & strategic management, 18, 285–298. · DOI
  7. Bouffard, S., & Kirschen, D. S. (2008). Centralised and distributed electricity systems. Energy Policy, 36, 4504–4508. · DOI
  8. Braithwait, S. D. (2003). Demand response is important—however, let’s not oversell (or over-price) it. The Electricity Journal, 16, 52–64. · DOI
  9. Brown, N., & Michael, M. (2003). A sociology of expectations: retrospecting prospects and prospecting retrospects. Technology Analysis & Strategic Management, 15, 3–18. · DOI
  10. Burgess, J., & Nye, M. (2008). Rematerialising energy use through transparent monitoring systems. Energy Policy, 36, 4454–4459. · DOI
  11. Cavoukian, A., Polonetsky, J., & Wolf, C. (2010). SmartPrivacy for the smart grid: embedding privacy into the design of electricity conservation. Identity in the Information Society., 3, 275–294. · DOI
  12. Chassin, D. P. (2010). What can the smart grid do for you? And what can you do for the smart grid? The Electricity Journal, 23, 57–63. · DOI
  13. Cotton, M., & Devine-Wright, P. (2012). Making electricity networks ‘visible’: industry actor representations of ‘publics’ and public engagement in infrastructure planning. Public Understanding of Science, 21(1), 17–35. · DOI
  14. Darby, S. J. (2012). Metering: EU policy and implications for fuel poor households. Energy Policy, 49, 98–106. · DOI
  15. Faruqui, A. (2010). The ethics of dynamic pricing. The Electricity Journal, 23, 13–27. · DOI
  16. Felder, F. (2012). Chapter 4—The equity implications of smart grid: questioning the size and distribution of smart grid costs and benefits. In Smart Grid (pp. 85–100). Boston: Academic. · DOI
  17. Geels, F. W., & Smit, W. A. (2000). Failed technology futures: pitfalls and lessons from a historical survey. Futures, 32, 867–885. · DOI
  18. Hargreaves, T., Nye, M., & Burgess, J. (2010). Making energy visible. A qualitative field study of how householders interact with feedback from smart energy monitors. Energy Policy, 38, 6111–6119. · DOI
  19. Ivory, C. (2013). The role of the imagined user in planning and design narratives. Planning Theory, 12, 425–441. · DOI
  20. Jasanoff, S., & Kim, S.-H. (2009). Containing the atom: sociotechnical imaginaries and nuclear power in the United States and South Korea. Minerva, 47(2), 119–146. · DOI
  21. Latour, B. (1988). The politics of explanation: an alternative Knowledge and Reflexivity. New Frontiers in the Sociology of Knowledge, 10, 155–176.
  22. Maranta, A., Guggenheim, M., Gisler, P., & Pohl, C. (2003). The reality of experts and the imagined lay person. Acta Sociologica, 46, 105–165. · DOI
  23. McGee, M. C. (1980). The “ideograph”: a link between rhetoric and ideology. Quarterly Journal of Speech, 66, 1–16. · DOI
  24. Newsham, G. R., & Bowker, B. G. (2010). The effect of utility time-varying pricing and load control strategies on residential summer peak electricity use: a review. Energy Policy, 37, 3289–3296. · DOI
  25. Nichols, D., & Stutz, J. (2001). Load response: new, or déjà vu? The Electricity Journal, 14, 73–79. · DOI
  26. Nyborg, S., & Røpke, I. (2013). Constructing users in the smart grid - insights from the Danish eFlex project. Energy Efficiency, 6, 655–670. doi: 10.1007/s12053-013-9210-1 . · DOI
  27. Papagiannis, G., Dagoumas, A., Lettas, N., & Dokopoulos, P. (2008a). Economic and environmental impacts from the implementation of an intelligent demand side management system at the European level. Energy Policy, 36, 163–180. · DOI
  28. Papagiannis, G., Dagoumas, A., Lettas, N., & Dokopoulos, P. (2008b). Economic and environmental impacts from the implementation of an intelligent demand side management system at the European level. Energy Policy, 36, 163–180. doi: 10.1016/j.enpol.2007.09.005 . · DOI
  29. Prignot, N. & Wallenborn G. (2009). “Standardisation of practices and representations of users in the ecodesign Directive”, Proceedings of ECEEE 2009 summer study, panel 8: dynamics of consumption 1-6 June 2009, pp 1763-1772.
  30. Prüggler, N., Verboven, P., & Hübner, M. (2014). Collection of regional and national key projects as a starting point for the establishment of ERA-Net Smart Grids Plus Smart Grids Demo Snapshots 2013/2014. Smart Grids ERA-Net Deliverable D, 4A(4), 1.
  31. Schick, L., & Gad, C. (2015). Flexible and inflexible energy engagements—a study of the Danish Smart Grid Strategy. Energy Research & Social Science, 9, 51–59. · DOI
  32. Schick, L., & Winthereik, B. R. (2013). Innovating relations—or why smart grid is not too complex for the public. Science & Technology Studies, 26, 82–102. · DOI
  33. Silverstone, R., Hirsch, E., & Morley, D. (1992). Consuming Technologies. Media and information in domestic spaces. London: Routledge. · DOI
  34. Skjølsvold, T. M. (2014). Back to the futures: retrospecting the prospects of smart grid technology. Futures, 63, 26–36. doi: 10.1016/j.futures.2014.08.001 . · DOI
  35. Skjølsvold, T. M., & Lindkvist, C. (2015). Ambivalence, designing users and user imaginaries in the European smart grid: insights from an interdisciplinary demonstration project. Energy Research & Social Science, 9, 43–50. · DOI
  36. Skjølsvold, T. M., & Ryghaug, M. (2015). Embedding smart energy technology in built environments: a comparative study of four smart grid demonstration projects. Indoor + Built Environment, 24(7), 878–890. · DOI
  37. Smith, D. E., (1978). ‘K is mentally ill’: the anatomy of a factual account. Sociology, 12(1), 23–53. · DOI
  38. Stephen, B., Mutanen, A. J., Galloway, S., Burt, G., & Järventausta, P. (2014). Enhanced load profiling for residential network customers. IEEE Transactions on Power Delivery., 29, 88–96. · DOI
  39. Strengers, Y. (2013). Smart energy technologies in everyday life. Smart Utopia? Hampshire: Palgrave MacMillan. · DOI
  40. Throndsen, W., & Ryghaug, M. (2015). Material participation and the smart grid: exploring different modes of articulation. Energy Research & Social Science, Special Issue on Smart Grids and the Social Sciences, 9, 157–165. doi: 10.1016/j.erss.2015.08.012 . · DOI
  41. Van Lente, H. (2000). Forceful futures: from promise to requirement. In N. Brown, B. Rappert, & A. Webster (Eds.), Contested futures. A sociology of prospective techno-science (pp. 43–64). Aldershot: Ashgate Publishing Ltd.
  42. Van Lente, H. (2006). Expected behavior. In P.-P. Verbeek, A. Slob (Eds.), User behavior and technology development (pp. 211–219). Springer. · DOI
  43. Walker, G., Cass, N., Burningham, K., & Barnett, J. (2010). Renewable energy and sociotechnical change: imagined subjectivities of ‘the public’ and their implications. Environment and planning A, 42, 931–941. · DOI
  44. Wall, T. (2010). Stockholm Royal Seaport—a smart grid for a sustainable city project. Power Point slides retrieved 1.07.2014 http://www.ieadsm.org/Files/Exco%20File%20Library/Workshop,%20Stockholm%20October%202010/Wall.pdf .
  45. Wallenborn, G., Orsini, M., & Vanhaverbeke, J. (2011). Household appropriation of electricity monitors. International Journal of Consumer Studies, 35, 146–152. · DOI
  46. Woolgar, S. (1991). Configuring the user: the case of usability trials. In J. Law (Ed.), A sociology of monsters: essays on power, technology and domination (pp. 37–102). London: Routledge.

Metadata

Authors
Throndsen, W.
Venue
Energy Efficiency
Published
2016-06-03
Volume
10
Issue
2
Pages
283-297
ISSN
  • 1570-646X
  • 1570-6478
Cited by
40
Language
en

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