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Why does real-time information reduce energy consumption?

Citations

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Cited by:

  1. Jorge Antunes & Rangan Gupta & Zinnia Mukherjee & Peter Wanke, 2022. "Information entropy, continuous improvement, and US energy performance: a novel stochastic-entropic analysis for ideal solutions (SEA-IS)," Annals of Operations Research, Springer, vol. 313(1), pages 289-318, June.
  2. Fiorillo, Damiano & Sapio, Alessandro, 2019. "Energy saving in Italy in the late 1990s: Which role for non-monetary motivations?," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.
  3. Bertolini, Marina & D'Alpaos, Chiara & Moretto, Michele, 2018. "Do Smart Grids boost investments in domestic PV plants? Evidence from the Italian electricity market," Energy, Elsevier, vol. 149(C), pages 890-902.
  4. 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.
  5. Matsukawa, Isamu, 2018. "Information acquisition and residential electricity consumption: Evidence from a field experiment," Resource and Energy Economics, Elsevier, vol. 53(C), pages 1-19.
  6. Schubert, Christian, 2017. "Green nudges: Do they work? Are they ethical?," Ecological Economics, Elsevier, vol. 132(C), pages 329-342.
  7. Weber, Sylvain & Puddu, Stefano & Pacheco, Diana, 2017. "Move it! How an electric contest motivates households to shift their load profile," Energy Economics, Elsevier, vol. 68(C), pages 255-270.
  8. Gosnell, Greer & Martin, Ralf & Muuls, Mirabelle & Coutellier, Quentin & Strbac, Goran & Sun, Mingyang & Tindermans, Simon, 2019. "Making smart meters smarter the smart way," LSE Research Online Documents on Economics 102618, London School of Economics and Political Science, LSE Library.
  9. Shen, Meng & Lu, Yujie & Wei, Kua Harn & Cui, Qingbin, 2020. "Prediction of household electricity consumption and effectiveness of concerted intervention strategies based on occupant behaviour and personality traits," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
  10. 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).
  11. Sandro Casal & Nives Della Valle & Luigi Mittone & Ivan Soraperra, 2016. "Feedback and consumption behavior," CEEL Working Papers 1608, Cognitive and Experimental Economics Laboratory, Department of Economics, University of Trento, Italia.
  12. Iztok Podbregar & Sanja Filipović & Mirjana Radovanović & Olga Mirković Isaeva & Polona Šprajc, 2021. "Electricity Prices and Consumer Behavior, Case Study Serbia—Randomized Control Trials Method," Energies, MDPI, vol. 14(3), pages 1-12, January.
  13. Trotta, Gianluca, 2020. "An empirical analysis of domestic electricity load profiles: Who consumes how much and when?," Applied Energy, Elsevier, vol. 275(C).
  14. Ossokina, Ioulia V. & Kerperien, Stephan & Arentze, Theo A., 2021. "Does information encourage or discourage tenants to accept energy retrofitting of homes?," Energy Economics, Elsevier, vol. 103(C).
  15. Iris, Çağatay & Lam, Jasmine Siu Lee, 2019. "A review of energy efficiency in ports: Operational strategies, technologies and energy management systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 170-182.
  16. Elmar A. Janssen, 2014. "The Influence of Transparency on Investments in Climate Protecting - An Economic Experiment," Working Papers Dissertations 06, Paderborn University, Faculty of Business Administration and Economics.
  17. Aydin, Erdal & Brounen, Dirk & Kok, Nils, 2018. "Information provision and energy consumption: Evidence from a field experiment," Energy Economics, Elsevier, vol. 71(C), pages 403-410.
  18. Ben-Haim, Yakov, 2021. "Feedback for energy conservation: An info-gap approach," Energy, Elsevier, vol. 223(C).
  19. Paolo Zangheri & Tiago Serrenho & Paolo Bertoldi, 2019. "Energy Savings from Feedback Systems: A Meta-Studies’ Review," Energies, MDPI, vol. 12(19), pages 1-18, October.
  20. McAndrew, Ryan & Mulcahy, Rory & Gordon, Ross & Russell-Bennett, Rebekah, 2021. "Household energy efficiency interventions: A systematic literature review," Energy Policy, Elsevier, vol. 150(C).
  21. Kazutoshi Tsuda & Michinori Uwasu & Keishiro Hara & Yukari Fuchigami, 2017. "Approaches to induce behavioral changes with respect to electricity consumption," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 7(1), pages 30-38, March.
  22. Xiao Han & Chu Wei, 2021. "Household energy consumption: state of the art, research gaps, and future prospects," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(8), pages 12479-12504, August.
  23. Agatz, N.A.H. & Fan, Y. & Stam, D.A., 2020. "Going green: the effect of green labels on delivery time slot choices," ERIM Report Series Research in Management ERS-2020-009-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  24. Werthschulte, Madeline, 2023. "Present focus and billing systems: Testing ‘pay-as-you-go’ vs. ‘pay-later’," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 108-121.
  25. Werthschulte, Madeline, 2020. ""Pay-later" vs. "pay-as-you-go": Experimental evidence on present-biased overconsumption and the importance of timing," ZEW Discussion Papers 20-089, ZEW - Leibniz Centre for European Economic Research.
  26. d'Adda, Giovanna & Galliera, Arianna & Tavoni, Massimo, 2020. "Urgency and engagement: Empirical evidence from a large-scale intervention on energy use awareness," Journal of Economic Psychology, Elsevier, vol. 81(C).
  27. Sandro Casal & Nives DellaValle & Luigi Mittone & Ivan Soraperra, 2017. "Feedback and efficient behavior," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-21, April.
  28. Leslie, Gordon W. & Pourkhanali, Armin & Roger, Guillaume, 2024. "Is the clean energy transition making fixed-rate electricity tariffs regressive?," Journal of Environmental Economics and Management, Elsevier, vol. 127(C).
  29. Anne Immonen & Maria Kopsakangas-Savolainen, 2022. "Capturing Consumers’ Awareness and the Intention to Support Carbon Neutrality through Energy Efficient Consumption," Energies, MDPI, vol. 15(11), pages 1-27, May.
  30. Ahir, Rajesh K. & Chakraborty, Basab, 2021. "A meta-analytic approach for determining the success factors for energy conservation," Energy, Elsevier, vol. 230(C).
  31. Werthschulte, Madeline, 2020. ""Pay-later" vs. "pay-as-you-go": Experimental evidence on present-biased overconsumption and the importance of timing," CAWM Discussion Papers 121, University of Münster, Münster Center for Economic Policy (MEP).
  32. Tuomela, Sanna & de Castro Tomé, Mauricio & Iivari, Netta & Svento, Rauli, 2021. "Impacts of home energy management systems on electricity consumption," Applied Energy, Elsevier, vol. 299(C).
  33. Vichos, Emmanouil & Sifakis, Nikolaos & Tsoutsos, Theocharis, 2022. "Challenges of integrating hydrogen energy storage systems into nearly zero-energy ports," Energy, Elsevier, vol. 241(C).
  34. Werthschulte, Madeline & Löschel, Andreas, 2021. "On the role of present bias and biased price beliefs in household energy consumption," Journal of Environmental Economics and Management, Elsevier, vol. 109(C).
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