Handling Non-Linearities in Modelling the Optimal Design and Operation of a Multi-Energy System

Autor: Antoine Mallégol, Arwa Khannoussi, Mehrdad Mohammadi, Bruno Lacarrière, Patrick Meyer

Publikováno v: Mathematics, Vol 11, Iss 23, p 4855 (2023)

Multi-energy systems (MESs) combining different energy carriers like electricity and heat allow for more efficient and sustainable energy solutions. However, optimizing the design and operation of MESs is challenging due to non-linearities in the mat

Externí odkaz: https://doaj.org/article/2a89f657cb3a410e84d92c81cc019503

Roles in social interactions: graphlets in temporal networks applied to learning analytics

Autor: Raphaël Charbey, Laurent Brisson, Cécile Bothorel, Philippe Ruffieux, Jean-Marie Gilliot, Antoine Mallégol, Serge Garlatti

Publikováno v: COMPLEX NETWORKS 2019 : 8th International Conference on Complex Networks and their Applications
COMPLEX NETWORKS 2019 : 8th International Conference on Complex Networks and their Applications, Dec 2019, Lisbon, Portugal. ⟨10.1007/978-3-030-36683-4_41⟩
Complex Networks and Their Applications VIII ISBN: 9783030366827
COMPLEX NETWORKS (2)

There is a growing interest in how data generated in learning platforms, especially the interaction data, can be used to improve teaching and learning. Social network analysis and machine learning methods take advantage of network topology to detect

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ff3d09851d1240e58c6863af7a984de
https://hal.archives-ouvertes.fr/hal-02317823/file/ComplexNetwork2019_graphlets_learning_analytics_pre-print.pdf