HEMSデータ分析に基づく家庭用電力消費量を規定するライフスタイル要因の検討

摘要

This paper presents a method to classify residential electricity consumption into two factors by multiple regress ion analysis using home energy management system (HEMS) database which we have already constructed. The first is "Fixed Factor Consumption" , determined by the fixed factors such as household size, housing attributes and meteorological condition, which cannot be easily changed by consumers. The second is "Life Style Factor Consumption" which fluctuates depending on the lifestyle of each household with consumption which cannot be explained by fixed factors. We focus on lifestyIe factors and clarify the characteristics of households with large lifestyIe factor consumption.%家庭部門における省エネルギーを実現するための一方策としてHEMS (家庭用エネルギーマネジメントシステム）の 活用があり，岩船らはそれらを目的とし，住宅メーカやHEMS サービス提供事業者の協力を得てHEMSデータを収集し，デ —タベース化している'；.そして構築したデータべ一スをも とに，エネルギー診断を実施し，その効果について検証を行 つている.