Concept
Robinetterie
Publications associées (38)
Encoding quantum-chemical knowledge into machine-learning models of complex molecular properties
Statistical (machine-learning, ML) models are more and more often used in computational chemistry as a substitute to more expensive ab initio and parametrizable methods. While the ML algorithms are capable of learning physical laws implicitly from data, ad ...
EPFL2024Street grids for efficient district cooling systems in high-density cities
Shanshan Hsieh, Arno Schlueter
The feasibility of district cooling systems is linked to their efficiency, which is associated with their capital and operational costs. For reasons of ownership and maintenance, the piping network commonly follows the city's street layout. This paper exam ...
ELSEVIER2020Systematic Integration of Energy-Optimal Buildings With District Networks
François Maréchal, Luc Girardin, Ivan Daniel Kantor, Paul Michael Stadler, Raluca-Ancuta Suciu
The residential sector accounts for a large share of worldwide energy consumption, yet is difficult to characterise, since consumption profiles depend on several factors from geographical location to individual building occupant behaviour. Given this diffi ...
2019