Enhancing Indoor Temperature Forecasting through Synthetic Data in Low-Data Environments

Zachari Thiry, Massimiliano Ruocco, Alessandro Nocente +1

Forecasting indoor temperatures is important to achieve efficient control of HVAC systems. In this task, the limited data availability presents a challenge as most of the available…