| Title |
Evaluating the Effects of Intelligent Home Systems on Energy Management Costs in Multi-Family Housing |
| Authors |
김서영(Kim, Seoyoung) ; 최규진(Choi, Kyujin) ; 오경호(Oh, Kyungho) ; 이다니엘(Lee, Daniel) ; 손동욱(Sohn, Dong-wook) |
| DOI |
https://doi.org/10.5659/JAIK.2026.42.6.19 |
| Keywords |
Intelligent Home System; Intelligent Home Network; Smart Home; Energy Management; Energy Consumption; Building Management System; Management cost; Multi-family Housing |
| Abstract |
Intelligent home systems are increasingly being implemented in multi-family housing to improve residential energy management, although
empirical evidence on their cost-saving effects at the building scale remains limited. This study evaluates how different levels of technological
sophistication, including home network systems (G1), intelligent home network systems (G2), and no home network system (G3), on
energy-related housing management costs. Multiple regression analyses are conducted using heating, hot water, gas, electricity, and water costs
as dependent variables. The results show differentiated effects across energy categories. G2 is associated with significant reductions in heating
and gas costs, suggesting that automated monitoring and control functions improve energy efficiency. Hot water costs decrease in G1,
reflecting the routine nature of hot water usage, which can be efficiently managed through basic home network functions. Electricity costs
increase in both G1 and G2, likely due to behavioral variability, increased use of electronic appliances, and additional power demand from
system operations and common-area facilities. These findings indicate that cost-saving effects vary by energy type and level of system
automation. This highlights the need for intelligent home systems to incorporate adaptive and context-aware control mechanisms to achieve
broader efficiency gains. |