Literature DB >> 16795603

Effects of self-monitoring and feedback on residential electricity consumption.

R A Winett1, M S Neale, H C Grier.   

Abstract

Prior research has indicated that frequent feedback could reduce residential electricity consumption by 10% to 15%. However, because feedback was primarily given in written form, this procedure might not be practical. The present study evaluated a potentially more practical feedback procedure during peak-use periods with high electricity consuming households. The study was conducted during the winter in an upper-middle class neighborhood of almost identical, all-electric townhouses (N = 71) that averaged about 170 KWH per day per household for a monthly bill of over $200. Twelve households received daily written feedback. Sixteen households (self-monitoring) were taught to read their outdoor electricity meter and to record KWH used every day. A comparison group was composed of 14 households that had volunteered to participate and 29 others that had only given permission to have their meters read. During a 1-month period that the procedures were in effect, the feedback group reduced consumption by 13% and the self-monitoring group by about 7%. These reductions, relative to the comparison group, were maintained during an early spring 1-month follow-up period and, to a lesser extent, during a 6-week warm spring period. Self-monitoring participants were highly reliable and persistent meter readers. Reductions in electricity use were reported by households to be largely attributable to lowering of the heat thermostat, and large monetary and KWH savings were found. Techniques to make self-monitoring cost-effective important components of the self-monitoring procedure, methods to apply self-monitoring more broadly, and plans to combine behavioral procedures with physical technology are discussed.

Entities:  

Year:  1979        PMID: 16795603      PMCID: PMC1311361          DOI: 10.1901/jaba.1979.12-173

Source DB:  PubMed          Journal:  J Appl Behav Anal        ISSN: 0021-8855


  4 in total

1.  Decreasing fuel-oil consumption through feedback and social commendation.

Authors:  W B Seaver; A H Patterson
Journal:  J Appl Behav Anal       Date:  1976

2.  A behavioral analysis of peaking in residential electrical-energy consumers.

Authors:  R Kohlenberg; T Phillips; W Proctor
Journal:  J Appl Behav Anal       Date:  1976

3.  Reducing residential electrical energy use: payments, information, and feedback.

Authors:  S C Hayes; J D Cone
Journal:  J Appl Behav Anal       Date:  1977

4.  An experimental analysis of electricity conservation procedures.

Authors:  M H Palmer; M E Lloyd; K E Lloyd
Journal:  J Appl Behav Anal       Date:  1977
  4 in total
  9 in total

1.  A group contingency for electricity conservation in master-metered apartments.

Authors:  R E Slavin; J S Wodarski; B L Blackburn
Journal:  J Appl Behav Anal       Date:  1981

2.  Reduction of residential consumption of electricity through simple monthly feedback.

Authors:  S C Hayes; J D Cone
Journal:  J Appl Behav Anal       Date:  1981

3.  The effects of videotape modeling and daily feedback on residential electricity conservation, home temperature and humidity, perceived comfort, and clothing worn: Winter and summer.

Authors:  R A Winett; J W Hatcher; T R Fort; I N Leckliter; S Q Love; A W Riley; J F Fishback
Journal:  J Appl Behav Anal       Date:  1982

4.  Reducing elevator energy use: A comparison of posted feedback and reduced elevator convenience.

Authors:  R V Houten; P A Nau; M Merrigan
Journal:  J Appl Behav Anal       Date:  1981

5.  Behavioral community intervention to reduce the risk of skin cancer.

Authors:  D Lombard; T E Neubauer; D Canfield; R A Winett
Journal:  J Appl Behav Anal       Date:  1991

Review 6.  Social validity assessments: is current practice state of the art?

Authors:  I S Schwartz; D M Baer
Journal:  J Appl Behav Anal       Date:  1991

7.  Verbal self-reports of delayed matching to sample by humans.

Authors:  T S Critchfield; M Perone
Journal:  J Exp Anal Behav       Date:  1990-05       Impact factor: 2.468

8.  Potential Contributions of Behavior Analysis to Research on Pro-environmental Behavior.

Authors:  Farina Wille; Florian Lange
Journal:  Front Psychol       Date:  2022-05-17

9.  Unlocking the potential of smart grid technologies with behavioral science.

Authors:  Nicole D Sintov; P Wesley Schultz
Journal:  Front Psychol       Date:  2015-04-09
  9 in total

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