<![CDATA[Global reliance on fossil fuels poses significant challenges, including resource scarcity, price volatility, and the escalating climate crisis. The residential sector, accounting for a substantial portion of global energy consumption (30%) and CO2 emissions (28%), holds immense, yet often untapped, potential for energy efficiency. The study of Energy Performance Indicators (EnPIs) is therefore crucial. EnPIs serve as vital benchmarking tools to effectively measure, compare, and evaluate the energy performance of residential properties, thereby facilitating informed investment decisions for efficiency enhancements. This study aims to establish the relationship between installed power capacity (kVA) and electricity consumption per Gross Floor Area (GFA) to derive relevant EnPI values as a baseline. A quantitative approach utilizing a cross-sectional survey was employed. Data on installed power and monthly kilowatt-hour (kWh) consumption were collected from a diverse sample of residential units, encompassing common power variations (1300 VA, 2200 VA, 3300 VA, and 6600 VA). The collected data underwent analysis using descriptive statistics and regression analysis to identify key patterns and correlations. The findings indicate a clear trend: the EnPI (kWh/m²/year) increases with higher installed power variations. Specifically, the average EnPI values were found to be 50 for 1300 VA, 80 for 2200 VA, 97 for 3300 VA, and 118 for 6600 VA. A strong positive correlation was observed between power variation and EnPI (R² = 0.851), suggesting that 85.1% of the variation in EnPI is attributable to the installed power capacity. Furthermore, the analysis revealed that 91.19% of monthly kWh consumption is influenced by kVA. Based on these findings, specific kWh-month/kVA ratios were derived (e.g., 321 for 1.3 kVA; 455 for 2.2 kVA; 490 for 3.3 kVA; and 521 for 6.6 kVA). These two sets of developed EnPIs—kWh/m²/year and the kWh-month/kVA ratio—are considered crucial and can serve as valuable references for developing effective energy efficiency and conservation strategies within Indonesia's residential sector.]]>
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