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Flexiwatts and seamless technology: Public perceptions of demand flexibility through smart home technology

Abstract The European Commission envisages smart home technology (SHT) as reducing energy costs and simplifying consumer engagement in a low-carbon-energy retail market without inconveniencing them. With consumers’ consent, SHT allows continuous seamless interaction between the home and the smart grid, offering the grid ongoing demand flexibility resources for reshaping the demand curve. This study assesses perceptions of a nontechnophobic segment of the Israeli public (N = 554) regarding demand flexibility and energy management through SHT. Sociodemographic variables, personality traits, and attitudes toward smart homes and demand flexibility through SHT were examined as predictors of consumers’ interest in adopting a smart home and in demand flexibility through SHT. In a hierarchical linear regression model, gender, income, openness to experience, and positive and negative attitudes toward SHT explained 64.4% of the variance in interest in smart homes. Age, openness to experience, a positive attitude toward smart homes, and perceived benefits of demand flexibility explained 31.4% of the variance in interest in demand flexibility through SHT. Regarding respondents’ willingness to allow SHT to manage appliances, dishwashers scored the highest and refrigerators, the lowest. Findings indicate that prospective adopters value the perceived benefits of comfort and convenience over risks associated with smart home technology.
- Interdisciplinary Center Herzliya Israel
- Bar-Ilan University Israel
- Interdisciplinary Center Herzliya Israel
- Bar-Ilan University Israel
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).64 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
