80 citations · 80 across the 3 of their papers we have counts for
3 papers
Configurable convolutional neural networks for real-time pedestrian-level wind prediction in urban environments
Alfredo Vicente Clemente, Knut Erik Teigen Giljarhus, Luca Oggiano +1
Urbanization has underscored the importance of understanding the pedestrian wind environment in urban and architectural design contexts. Pedestrian Wind Comfort (PWC) focuses on th…
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…
Efficient Parallel Methods for Deep Reinforcement Learning
Alfredo V. Clemente, Humberto N. Castejón, Arjun Chandra
We propose a novel framework for efficient parallelization of deep reinforcement learning algorithms, enabling these algorithms to learn from multiple actors on a single machine. T…