Development of an IoT-driven deep learning framework for smart energy prediction in commercial buildings

Gobinda Chandra Sarker, Md Mehedi Hasan, Md. Rakibul Hoque, Md. Khashrul Alam, M. Helal Uddin Ahmed

Abstract: Highlights•Energy savings and occupant comfort for air conditioning systems in buildings.•Energy optimization through dynamic temperature setpoint adjustments.•Attention-based network accurately forecasts air conditioner energy usage.•Model performance validated against established energy prediction algorithms.

External IDs:doi:10.1016/j.jobe.2025.113315