Kim Hana, Caesary Desy, Jang Jeongwoo, Mah Daphne Ngar-Yin
School of Digital Humanities and Computational Social Sciences, Korea Advanced Institute of Science and Technology, Republic of Korea.
Center for Digital Humanities and Computational Social Sciences, Korea Advanced Institute of Science and Technology, Republic of Korea.
Heliyon. 2024 Aug 28;10(17):e36951. doi: 10.1016/j.heliyon.2024.e36951. eCollection 2024 Sep 15.
Engagement with households to fully realize the potential of demand-side solutions has attracted policy attention. The potential of feedback has been understudied, especially regarding who engages more in electricity conservation. Furthermore, most studies have been limited to the Western context, with only a few that explore Asia. This study fills these gaps by investigating changes in household hourly electricity consumption patterns after its members receive high-resolution feedback. After data balancing, we partitioned 63 households into distinct groups using K-means clustering and investigated consumption changes after the provision of high-resolution electricity feedback through a mobile application. The results indicate mixed effectiveness of feedback: some households reduced consumption by about 13 %, while others increased it between 7 % and 20 %. In addition, statistical analysis using survey responses revealed that households with greater awareness of electricity costs and a stronger interest in climate change were more receptive to feedback. Demographic and housing attributes such as age, building type, and floor count also influenced the feedback effect. The findings recommend enhancing awareness of electricity costs and climate change and developing a better understanding of individuals' challenges with changing conservation behaviors based on their demographic and housing characteristics.
与家庭合作以充分发挥需求侧解决方案的潜力已引起政策关注。反馈的潜力尚未得到充分研究,尤其是关于谁在节电方面参与度更高。此外,大多数研究仅限于西方背景,只有少数研究探讨亚洲情况。本研究通过调查家庭在其成员收到高分辨率反馈后每小时的用电模式变化来填补这些空白。在数据平衡后,我们使用K均值聚类将63户家庭划分为不同组,并通过移动应用程序在提供高分辨率电力反馈后调查用电变化。结果表明反馈效果不一:一些家庭用电量减少了约13%,而另一些家庭则增加了7%至20%。此外,利用调查回复进行的统计分析表明,对电费成本意识更强且对气候变化兴趣更浓厚的家庭对反馈的接受度更高。年龄、建筑类型和楼层数等人口和住房属性也影响了反馈效果。研究结果建议提高对电费成本和气候变化的认识,并根据个人的人口和住房特征更好地了解他们在改变节约行为方面面临的挑战。