Field Experiment of Smartphone-based Energy Efficiency Services for Households: a Proposal of Personalization Method for Neighborhood Comparison

Abstract

We propose a method for personalizing neighborhood comparisons towards improving energy efficiency services. The method uses a regression model considering attributes of households, whose prediction can be regarded as electricity consumption for similar neighborhoods. The method is implemented in a field experiment based on a smartphone-based service. By evaluating the validity of the method, it is implied that the proposed method can personalize the neighborhood comparison to provide information in a manner that improves satisfaction in the households. This paper also demonstrates the practical utility of the proposed method.