Consumer demand for time of use electricity tariffs: A systematized review of the empirical evidence
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[1] H. Bulkeley,et al. Insight report : domestic time of use tariff : a comparison of the time of use tariff trial to the baseline domestic profiles. , 2013 .
[2] The Behavioralist As Tax Collector: Using Natural Field Experiments to Enhance Tax Compliance , 2017 .
[3] Noah J. Goldstein,et al. The Constructive, Destructive, and Reconstructive Power of Social Norms , 2007, Psychological science.
[4] M. Wetzstein,et al. Risk preference and adverse selection for participation in time-of-use electricity pricing programs , 2017 .
[5] Gj Raw,et al. Energy Demand Research Project: final analysis , 2011 .
[6] Guy R. Newsham,et al. The effect of utility time-varying pricing and load control strategies on residential summer peak electricity use: A review , 2010 .
[7] Gesche M. Huebner,et al. Tailored emails prompt electric vehicle owners to engage with tariff switching information , 2017, Nature Energy.
[8] J. Andreoni. Cooperation in Public-Goods Experiments: Kindness or Confusion? , 1995 .
[9] B. Fischhoff,et al. Advertising energy saving programs: The potential environmental cost of emphasizing monetary savings. , 2015, Journal of experimental psychology. Applied.
[10] Snuller Price,et al. Smart meter, customer choice and profitable time-of-use rate option , 1999 .
[11] Susan Lutzenhiser. Beyond the Price Effect in Time-of-Use Programs: Results from a Municipal Utility Pilot, 2007-2008 , 2009 .
[12] Applying Behavioural Insights to Organ Donation: preliminary results from a randomised controlled trial , 2013 .
[13] D. Shipworth,et al. Are consumers willing to switch to smart time of use electricity tariffs? The importance of loss-aversion and electric vehicle ownership , 2017 .
[14] Maria J Grant,et al. A typology of reviews: an analysis of 14 review types and associated methodologies. , 2009, Health information and libraries journal.
[15] Evangelos Kontopantelis,et al. Metaan: Random-effects Meta-analysis , 2010 .
[16] R. Thaler,et al. Nudge: Improving Decisions About Health, Wealth, and Happiness , 2008 .
[17] Kenneth Train,et al. Consumer Attitudes and Voluntary Rate Schedules for Public Utilities , 1987 .
[18] Daniel Pichert,et al. Green defaults : Information presentation and pro-environmental behaviour , 2008 .
[19] Noah J. Goldstein,et al. Small behavioral science–informed changes can produce large policy-relevant effects , 2015, Behavioral Science & Policy.
[20] Karen Herter. Residential implementation of critical-peak pricing of electricity , 2007 .
[21] E. Hobman,et al. Uptake and usage of cost-reflective electricity pricing: Insights from psychology and behavioural economics , 2016 .
[22] Jacopo Torriti,et al. Investigating preferences for dynamic electricity tariffs: The effect of environmental and system benefit disclosure , 2015 .
[23] J. Herriges,et al. Residential response to voluntary time-of-use electricity rates , 1998 .
[24] Elisabeth Dütschke,et al. Dynamic electricity pricing - Which programs do consumers prefer? , 2013 .
[25] P. Sheeran. Intention—Behavior Relations: A Conceptual and Empirical Review , 2002 .
[26] H. Dowlatabadi,et al. Models of Decision Making and Residential Energy Use , 2007, Renewable Energy.
[27] Cooperation in public-goods experiments: kindness or confusion? , 2002 .
[28] Eric J. Johnson,et al. The Construction of Preference: Do Defaults Save Lives? , 2006 .
[29] Glenn C. Blomquist,et al. The Use of Contingent Valuation in Benefit–Cost Analysis , 2006 .
[30] E. Hobman,et al. Australian Consumers' Likely Response to Cost- Reflective Electricity Pricing , 2015 .
[31] Blair H. Sheppard,et al. The Theory of Reasoned Action: A Meta-Analysis of Past Research with Recommendations for Modifications and Future Research , 1988 .
[32] J. Ioannidis,et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration , 2009, BMJ : British Medical Journal.
[33] George A Kelley,et al. Statistical models for meta-analysis: A brief tutorial. , 2012, World journal of methodology.
[34] E. Hobman,et al. Household energy use: Applying behavioural economics to understand consumer decision-making and behaviour , 2015 .
[35] Michael J. Fell. Taking charge: perceived control and acceptability of domestic demand-side response , 2016 .
[36] L. Rook,et al. The impact of framing on consumer selection of energy tariffs , 2012, 2012 International Conference on Smart Grid Technology, Economics and Policies (SG-TEP).
[37] D. Green,et al. Collection of Delinquent Fines: An Adaptive Randomized Trial to Assess the Effectiveness of Alternative Text Messages , 2013 .
[38] Vicki G. Morwitz,et al. When Do Purchase Intentions Predict Sales? , 2006 .
[39] Gesche M. Huebner,et al. Public acceptability of domestic demand-side response in Great Britain: The role of automation and direct load control , 2015 .
[40] Carlos Henggeler Antunes,et al. Energy management systems aggregators: A literature survey , 2017 .
[41] Christophe Defeuilley,et al. Retail competition in electricity markets , 2009 .