Compel: International journal for computation and mathematics in electrical and electronic engineering

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  Año 2022, Vol. 41, Número Extraordinario 6

  • Optimal shape design of a class of permanent magnet motors in a multiple-objectives context

    Paolo di Barba, Maria Evelina Mognaschi, Lidija Petkovska, Goga Vladimir Cvetkovsk

    • Resumen
    • Texto completo

    págs. 1994-2009

    

  • Heuristic optimization applied to ANN training for predicting renewable energy sources production

    Gianmarco Lorenti, Ivan Mariuzzo, Francesco Moraglio, Maurizio Repetto

    • Resumen
    • Texto completo

    págs. 2010-2021

    

  • An optimization-based methodology to design waveguides with metamaterial walls

    Ayoub Bellouch, Amine El Alami, Frédéric Messine, Nathalie Raveu

    • Resumen
    • Texto completo

    págs. 2022-2044

    

  • Multiobjective optimization based on polynomial chaos expansions in the design of inductive power transfer systems

    Yao Pei, Lionel Pichon, Mohamed Bensetti, Yann Le Bihan

    • Resumen
    • Texto completo

    págs. 2045-2059

    

  • Shape optimization of synchronous reluctance motor using sensitivity information for multiple objective functions

    Hiroki Shigematsu, Shinji Wakao, Hiroaki Makino, Katsutoku Takeuchi, Makoto Matsushita

    • Resumen
    • Texto completo

    págs. 2060-2071

    

  • Including greenhouse gas emissions and behavioural responses in the optimal design of PV self-sufficient energy communities

    Sacha Hodencq, Jonathan Coignard, Nana Kofi Twum Duah, Lucas Hajiro Neves Mosquini

    • Resumen
    • Texto completo

    págs. 2072-2083

    

  • On the interaction between the design and operation under uncertainties of a simple distributed energy system

    Hugo Radet, Bruno Sareni, Xavier Roboam

    • Resumen
    • Texto completo

    págs. 2084-2095

    

  • Obtaining the most exact Jacobian of the time modelling of power electronics structures for gradient-based optimisations

    Laurent Gerbaud, Zié Drissa Diarra, Herve Chazal, Lauric Garbuio

    • Resumen
    • Texto completo

    págs. 2096-2108

    

  • Topology optimization in magnetic shield design by using density method in combination with CNN

    Rie Isshiki, Ryota Kawamata, Shinji Wakao, Noboru Murata

    • Resumen
    • Texto completo

    págs. 2109-2119

    

  • Deep learning as a tool for inverse problems resolution: a case study

    Sami Barmada, Alessandro Formisano, Dimitri Thomopulos, Mauro Tucci

    • Resumen
    • Texto completo

    págs. 2120-2133