Abstract
As the growing penetration of HEMS (Home Energy Management System) and smart meters, systems to dynamically process demand data and then to automatically provide information on energy conservation are starting to receive wide attention, especially in the U. S. Not only to utilize such systems for customers in Japan, but also to maximally enhance the effect, it is essential to consider the particular problem in Japan that reducing peak-time demand of electric system is especially expected, alongside to consider how real human beings react on provided information. We propose a method to automatically generate the reports on energy conservation tips to ‘Nudge' customer's energy conserving behaviors, based on each customer's electricity demand data. The reports feature the aspects of real human behaviors, including search cost, social norms, and expression to emphasize nuances of the information, to mainly aim at reducing electric system's peak-time demand. The paper includes the preliminary analysis results of the effect of reports generated by the proposed method, and further necessary points to be analyzed from the viewpoint of actual behavioral change are also discussed.
