In this study, I examined the electricity consumption characteristics of Mie University facilities and assessed the effects of energy-saving measures. The base electric power constituted 72% of the total, similar to other universities. I further evaluated four simple models for electricity demand forecasting. My findings indicate that the multiple regression model utilizing differenced series data achieved the lowest mean absolute percentage error. This model demonstrated stable predictions and showed excellent adaptability to changes in trends in university facility electric demand.
