Notícies

Enrere

SMILER: Loss reduction in water distribution networks based on Machine Learning

abr. 16, 2020

CIMNE is one of the partners of the SMILER project for the development of a loss reduction system in water distribution networks based on Machine Learning. The project (RTC-2017-6324-5), funded by the FEDER through the Ministry of Science, Innovation and Universities (State Research Agency) within the 2017 «Collaboration Challenges» call, is coordinated by the INCLAM Group.

SMILER’s presence at events

Last September, Bucharest hosted the Water Loss 2019 conference, where David J. Vicente, CIMNE’s principal investigator for this project, made a presentation entitled “Adaptive algorithm for water loss estimation in networks based on advanced analysis of Minimum Night Flow (MNF)”.

The SMILER project also had a notable presence at the VI Water Engineering Conference, which took place in Toledo from October 22 to 25, 2019. At this Conference, members of CIMNE Madrid (Javier San Mauro, Fernando Salazar and David J. Vicente) also presented the topic “Geometric optimization of piano key spillways to improve their hydraulic capacity”.


Source: watener.com

Notícies relacionades

El professor Antonio Gens, elegit membre de l’Academia Europaea

El professor Antonio Gens, elegit membre de l’Academia Europaea

Prof. Antonio Gens, Investigador distingit sènior del clúster de recerca en Geomecànica i Hidrogeologia del CIMNE i professor emèrit de l’Escola de Camins de la UPC, ha estat elegit membre de la prestigiosa Academia Europaea, dins la secció d’Earth & Cosmic Sciences....

Creen teixits vius capaços de canviar de forma de manera programada

Creen teixits vius capaços de canviar de forma de manera programada

  Un estudi liderat per l’Institut de Bioenginyeria de Catalunya (IBEC), la Universitat Politècnica de Catalunya – BarcelonaTech (UPC) i el Centre Internacional de Mètodes Numèrics a l’Enginyeria (CIMNE), en col·laboració amb el European Molecular Biology...

Etiquetes

Compartiu: