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Effects of feedback on residential electricity demand—Findings from a field trial in Austria

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  1. Iwafune, Yumiko & Mori, Yuko & Kawai, Toshiaki & Yagita, Yoshie, 2017. "Energy-saving effect of automatic home energy report utilizing home energy management system data in Japan," Energy, Elsevier, vol. 125(C), pages 382-392.
  2. Crago, Christine L. & Spraggon, John M. & Hunter, Elizabeth, 2020. "Motivating non-ratepaying households with feedback and social nudges: A cautionary tale," Energy Policy, Elsevier, vol. 145(C).
  3. Buckley, P. & Llerena, D., 2018. "Demand response as a common pool resource game: Nudges or peak prices," Working Papers 2018-01, Grenoble Applied Economics Laboratory (GAEL).
  4. Schleich, Joachim & Alsheimer, Sven, 2024. "The relationship between willingness to pay and carbon footprint knowledge: Are individuals willing to pay more to offset their carbon footprint if they learn about its size and distance to the 1.5 °C," Ecological Economics, Elsevier, vol. 219(C).
  5. Cardella, Eric & Ewing, Brad & Williams, Ryan Blake, 2018. "Green is Good – The Impact of Information Nudges on the Adoption of Voluntary Green Power Plans," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266583, Southern Agricultural Economics Association.
  6. Batalla-Bejerano, Joan & Trujillo-Baute, Elisa & Villa-Arrieta, Manuel, 2020. "Smart meters and consumer behaviour: Insights from the empirical literature," Energy Policy, Elsevier, vol. 144(C).
  7. Schleich, Joachim & Gassmann, Xavier & Faure, Corinne & Meissner, Thomas, 2016. "Making the implicit explicit: A look inside the implicit discount rate," Energy Policy, Elsevier, vol. 97(C), pages 321-331.
  8. Goette, Lorenz & Tiefenbeck, Verena & Degen, Kathrin & Fleisch, Elgar & Tasic, Vojkan & Lalive, Rafael & Staake, Thorsten, 2016. "Overcoming Salience Bias: How Real-Time Feedback Fosters Resource Conservation," CEPR Discussion Papers 11480, C.E.P.R. Discussion Papers.
  9. Kendel, Adnane & Lazaric, Nathalie & Maréchal, Kevin, 2017. "What do people ‘learn by looking’ at direct feedback on their energy consumption? Results of a field study in Southern France," Energy Policy, Elsevier, vol. 108(C), pages 593-605.
  10. Meub, Lukas & Runst, Petrik & von der Leyen, Kaja, 2019. "Can APPealing and more informative bills "nudge" individuals into conserving electricity?," ifh Working Papers 18/2019, Volkswirtschaftliches Institut für Mittelstand und Handwerk an der Universität Göttingen (ifh).
  11. Penelope Buckley & Daniel Llerena, 2018. "Demand response as a common pool resource game: Nudges versus prices," Working Papers hal-01704457, HAL.
  12. Hege Westskog & Tanja Winther & Hanne Sæle, 2015. "The Effects of In-Home Displays—Revisiting the Context," Sustainability, MDPI, vol. 7(5), pages 1-21, May.
  13. Buckley, Penelope, 2020. "Prices, information and nudges for residential electricity conservation: A meta-analysis," Ecological Economics, Elsevier, vol. 172(C).
  14. Adnane Kendel & Nathalie Lazaric, 2015. "The diffusion of smart meters in France: A discussion of the empirical evidence and the implications for smart cities," Post-Print halshs-01246427, HAL.
  15. Bernadeta Gołębiowska & Anna Bartczak & Mikołaj Czajkowski, 2020. "Energy Demand Management and Social Norms," Energies, MDPI, vol. 13(15), pages 1-20, July.
  16. Meub, Lukas & Runst, Petrik & von der Leyen, Kaja, 2019. "Can APPealing and more informative bills "nudge" individuals into conserving electricity?," University of Göttingen Working Papers in Economics 372, University of Goettingen, Department of Economics, revised 2019.
  17. Goldbach, Kristin & Rotaru, Andreea Mihaela & Reichert, Stefan & Stiff, George & Gölz, Sebastian, 2018. "Which digital energy services improve energy efficiency? A multi-criteria investigation with European experts," Energy Policy, Elsevier, vol. 115(C), pages 239-248.
  18. Louis-Gaëtan Giraudet, 2018. "Energy efficiency as a credence good: A review of informational barriers to building energy savings," Policy Papers 2018.04, FAERE - French Association of Environmental and Resource Economists.
  19. Orset, Caroline, 2021. "Is information a good policy instrument to influence the energy behaviour of households?," Energy Economics, Elsevier, vol. 102(C).
  20. Olkkonen, Ville & Rinne, Samuli & Hast, Aira & Syri, Sanna, 2017. "Benefits of DSM measures in the future Finnish energy system," Energy, Elsevier, vol. 137(C), pages 729-738.
  21. Gils, Hans Christian, 2014. "Assessment of the theoretical demand response potential in Europe," Energy, Elsevier, vol. 67(C), pages 1-18.
  22. Maya Papineau & Nicholas Rivers, "undated". "Visualizing Energy Efficiency: A Picture is Worth More Than 1,022 Words," Carleton Economic Papers 19-10, Carleton University, Department of Economics.
  23. Valor, Carmen & Escudero, Carmen & Labajo, Victoria & Cossent, Rafael, 2019. "Effective design of domestic energy efficiency displays: A proposed architecture based on empirical evidence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
  24. Ramos, A. & Gago, A. & Labandeira, X. & Linares, P., 2015. "The role of information for energy efficiency in the residential sector," Energy Economics, Elsevier, vol. 52(S1), pages 17-29.
  25. Fumo, Nelson & Rafe Biswas, M.A., 2015. "Regression analysis for prediction of residential energy consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 332-343.
  26. Agarwal, Sumit & Sing, Tien Foo & Sultana, Mahanaaz, 2022. "Public media campaign and energy conservation: A natural experiment in Singapore," Energy Economics, Elsevier, vol. 114(C).
  27. Frondel, Manuel & Sommer, Stephan & Vance, Colin, 2019. "Heterogeneity in German Residential Electricity Consumption: A quantile regression approach," Energy Policy, Elsevier, vol. 131(C), pages 370-379.
  28. Nsangou, Jean Calvin & Kenfack, Joseph & Nzotcha, Urbain & Ngohe Ekam, Paul Salomon & Voufo, Joseph & Tamo, Thomas T., 2022. "Explaining household electricity consumption using quantile regression, decision tree and artificial neural network," Energy, Elsevier, vol. 250(C).
  29. Kamalanathan Ganesan & João Tomé Saraiva & Ricardo J. Bessa, 2019. "On the Use of Causality Inference in Designing Tariffs to Implement More Effective Behavioral Demand Response Programs," Energies, MDPI, vol. 12(14), pages 1-20, July.
  30. Brewer, Dylan, 2023. "Household responses to winter heating costs: Implications for energy pricing policies and demand-side alternatives," Energy Policy, Elsevier, vol. 177(C).
  31. Asmare, Fissha & Jaraitė, Jūratė & Kažukauskas, Andrius, 2021. "The effect of descriptive information provision on electricity consumption: Experimental evidence from Lithuania," Energy Economics, Elsevier, vol. 104(C).
  32. Kühnbach, Matthias & Bekk, Anke & Weidlich, Anke, 2022. "Towards improved prosumer participation: Electricity trading in local markets," Energy, Elsevier, vol. 239(PE).
  33. Sloot, Daniel & Scheibehenne, Benjamin, 2022. "Understanding the financial incentive conundrum: A meta-analysis of the effectiveness of financial incentive interventions in promoting energy conservation behavior," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
  34. Giraudet, Louis-Gaëtan, 2020. "Energy efficiency as a credence good: A review of informational barriers to energy savings in the building sector," Energy Economics, Elsevier, vol. 87(C).
  35. Schleich, Joachim & Faure, Corinne & Klobasa, Marian, 2017. "Persistence of the effects of providing feedback alongside smart metering devices on household electricity demand," Energy Policy, Elsevier, vol. 107(C), pages 225-233.
  36. Šćepanović, Sanja & Warnier, Martijn & Nurminen, Jukka K., 2017. "The role of context in residential energy interventions: A meta review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1146-1168.
  37. Ruokamo, Enni & Meriläinen, Teemu & Karhinen, Santtu & Räihä, Jouni & Suur-Uski, Päivi & Timonen, Leila & Svento, Rauli, 2022. "The effect of information nudges on energy saving: Observations from a randomized field experiment in Finland," Energy Policy, Elsevier, vol. 161(C).
  38. Khanna, Nina Zheng & Guo, Jin & Zheng, Xinye, 2016. "Effects of demand side management on Chinese household electricity consumption: Empirical findings from Chinese household survey," Energy Policy, Elsevier, vol. 95(C), pages 113-125.
  39. Schleich, Joachim & Alsheimer, Sven, 2022. "How much are individuals willing to pay to offset their carbon footprint? The role of information disclosure and social norms," Working Papers "Sustainability and Innovation" S10/2022, Fraunhofer Institute for Systems and Innovation Research (ISI).
  40. Bernadeta Gołębiowska & Anna Bartczak & Mikołaj Czajkowski, 2020. "Energy demand management and social norms – the case study in Poland," Working Papers 2020-25, Faculty of Economic Sciences, University of Warsaw.
  41. Alcocer, Christian Diego & Torres, Elman Roman Torres, 2024. "Salience bias: A framework about the importance of prices and budget constraints perceptions," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 110(C).
  42. Verena Tiefenbeck & Lorenz Goette & Kathrin Degen & Vojkan Tasic & Elgar Fleisch & Rafael Lalive & Thorsten Staake, 2018. "Overcoming Salience Bias: How Real-Time Feedback Fosters Resource Conservation," Management Science, INFORMS, vol. 64(3), pages 1458-1476, March.
  43. Tilov, Ivan & Farsi, Mehdi & Volland, Benjamin, 2020. "From frugal Jane to wasteful John: A quantile regression analysis of Swiss households’ electricity demand," Energy Policy, Elsevier, vol. 138(C).
  44. Marin, Giovanni & Palma, Alessandro, 2017. "Technology invention and adoption in residential energy consumption," Energy Economics, Elsevier, vol. 66(C), pages 85-98.
  45. Simona-Vasilica Oprea & Adela Bâra & Bogdan George Tudorică & Gabriela Dobrița (Ene), 2020. "Sustainable Development with Smart Meter Data Analytics Using NoSQL and Self-Organizing Maps," Sustainability, MDPI, vol. 12(8), pages 1-30, April.
  46. Bernadeta Gołębiowska & Anna Bartczak & Wiktor Budziński, 2019. "Impact of social comparison on DSM in Poland," Working Papers 2019-10, Faculty of Economic Sciences, University of Warsaw.
  47. Klingler, Anna-Lena, 2017. "Self-consumption with PV+Battery systems: A market diffusion model considering individual consumer behaviour and preferences," Applied Energy, Elsevier, vol. 205(C), pages 1560-1570.
  48. Gils, Hans Christian, 2016. "Economic potential for future demand response in Germany – Modeling approach and case study," Applied Energy, Elsevier, vol. 162(C), pages 401-415.
  49. Yuuki Nakano & Hiroki Hondo, 2023. "Narrative or Logical? The Effects of Information Format on Pro-Environmental Behavior," Sustainability, MDPI, vol. 15(2), pages 1-14, January.
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