@article{ART003374530},
author={Sangmin Park},
title={AIoT-Based Digital Modeling Algorithms for Building Energy Optimization},
journal={Journal of Internet of Things and Convergence},
issn={2466-0078},
year={2026},
volume={12},
number={4},
pages={12}
TY - JOUR
AU - Sangmin Park
TI - AIoT-Based Digital Modeling Algorithms for Building Energy Optimization
JO - Journal of Internet of Things and Convergence
PY - 2026
VL - 12
IS - 4
PB - The Korea Internet of Things Society
SP - 12
EP -
SN - 2466-0078
AB - The building sector accounts for a significant portion of global energy consumption and CO2 emissions, necessitating improvements in energy management practices in existing buildings to achieve carbon neutrality. In particular, many existing buildings rely on analog-based equipment and limited control methods, hindering efficient energy management and optimization. This study, focusing on an aging analog building in Kuala Lumpur, Malaysia, presents a strategy to improve energy management efficiency through digital transformation. We developed an energy-saving system that incorporates Smart IoT sensors and a PV system and applies an AI-based energy control algorithm. To verify the effectiveness of the proposed method, three energy-saving scenarios were constructed: (1) time-based scheduling control, (2) AI-based intelligent control, and (3) PV-linked control. The energy savings rates and operational effectiveness of each scenario were compared and analyzed. The analysis results indicate that the proposed energy management and control approach could achieve approximately 3.96% energy savings compared to conventional operating methods, suggesting that data-driven control has the potential to contribute substantially to improving energy efficiency and reducing carbon emissions in existing buildings. This study demonstrates that the digital transformation of aging buildings and AI-based energy management can serve as effective approaches to sustainable building operation and the achievement of carbon neutrality.
KW - AIoT-based Energy Optimization;Intelligent Control Algorithm;Renewable Energy;Demand/Supply Optimization;Carbon Neutrality
DO -
UR -
ER -
Sangmin Park. (2026). AIoT-Based Digital Modeling Algorithms for Building Energy Optimization. Journal of Internet of Things and Convergence, 12(4), 12.
Sangmin Park. 2026, "AIoT-Based Digital Modeling Algorithms for Building Energy Optimization", Journal of Internet of Things and Convergence, vol.12, no.4 12.
Sangmin Park "AIoT-Based Digital Modeling Algorithms for Building Energy Optimization" Journal of Internet of Things and Convergence 12.4 12 (2026) : 12.
Sangmin Park. AIoT-Based Digital Modeling Algorithms for Building Energy Optimization. 2026; 12(4), 12.
Sangmin Park. "AIoT-Based Digital Modeling Algorithms for Building Energy Optimization" Journal of Internet of Things and Convergence 12, no.4 (2026) : 12.
Sangmin Park. AIoT-Based Digital Modeling Algorithms for Building Energy Optimization. Journal of Internet of Things and Convergence, 12(4), 12.
Sangmin Park. AIoT-Based Digital Modeling Algorithms for Building Energy Optimization. Journal of Internet of Things and Convergence. 2026; 12(4) 12.
Sangmin Park. AIoT-Based Digital Modeling Algorithms for Building Energy Optimization. 2026; 12(4), 12.
Sangmin Park. "AIoT-Based Digital Modeling Algorithms for Building Energy Optimization" Journal of Internet of Things and Convergence 12, no.4 (2026) : 12.
