2 papers
cs.LG2024
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…
cs.LG2023
Global Transformer Architecture for Indoor Room Temperature Forecasting
Alfredo V Clemente, Alessandro Nocente, Massimiliano Ruocco
A thorough regulation of building energy systems translates in relevant energy savings and in a better comfort for the occupants. Algorithms to predict the thermal state of a build…