5 papers · 1 filter
Learning to Land Anywhere: Transferable Generative Models for Aircraft Trajectories
Olav Finne Praesteng Larsen, Massimiliano Ruocco, Michail Spitieris +2
Access to trajectory data is a key requirement for developing and validating Air Traffic Management (ATM) solutions, yet many secondary and regional airports face severe data scarc…
Pre-Tactical Flight-Delay and Turnaround Forecasting with Synthetic Aviation Data
Abdulmajid Murad, Massimiliano Ruocco
Access to comprehensive flight operations data remains severely restricted in aviation due to commercial sensitivity and competitive considerations, hindering the development of pr…
Synthetic Aircraft Trajectory Generation Using Time-Based VQ-VAE
Abdulmajid Murad, Massimiliano Ruocco
In modern air traffic management, generating synthetic flight trajectories has emerged as a promising solution for addressing data scarcity, protecting sensitive information, and s…
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…
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…