Modeling Residential Electricity Consumption from Public Demographic Data for Sustainable Cities

Demographic factors, statistical information, and technological innovation are prominent factors shaping energy transitions in the residential sector. Explaining these requires combining insights from disciplines investigating factors. The existing literature is not consistent identifying nor proposing how they can be combined. In this paper, three contributions made by key demographic of households to estimate household consumption. Firstly, a mathematical formula developed considering determinants that influence consumption, such as number persons per household, median age, occupancy rate, with children, bedrooms household. Secondly, geographical position algorithm proposed identify locations households. Thirdly, derived validated collecting five regions local government databases, then compared electricity consumption benchmarks provided regulators. practical feasibility method demonstrated comparing estimated values comparison results indicate error between benchmark for different less than 8% (7.37%), proving efficacy estimation processes.