Anticipatory networks combined with smart systems can predict spacecraft consumption patterns and transmit electricity according to the expected demand. Modern data-driven techniques are needed to meet spacecraft demand forecasting challenges. Anticipatory networks link data about the future to decisions made today. Multicriteria Decision-Making methodology aims to enrich methods for controlling spacecraft electric elements and create visualizations of proposed control methods. The description of solving the optimization problem was presented. The possibilities of a solution in the energy sector in space with the usage of anticipated networks were given.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Anticipated Network of Optimizers for Energy Applications in Space


    Additional title:

    Springer Aerospace Techn.



    Conference:

    Space Resources Conference ; 2023 ; Kraków, Poland May 15, 2023 - May 16, 2023



    Publication date :

    2024-05-14


    Size :

    7 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Experiences with Optimizers in Design

    Keane, A. J. / Robinson, G. M. / International Society for Air Breathing Engines | British Library Conference Proceedings | 1999


    Untersuchung des Optimizers am VW 1600

    Lampert, A. / Institut für Verbrennungskraftmaschinen und Kraftfahrzeuge, München | TIBKAT | 1970


    Aerospace Design: A Comparative Study of Optimizers

    Badyrka, Jeffrey / Jenkins, Rhonald / Hartfield, Roy | AIAA | 2010


    AEROSPACE DESIGN: A COMPARATIVE STUDY OF OPTIMIZERS

    Badyrka, J. / Jenkins, R. / Hartfield, R. et al. | British Library Conference Proceedings | 2010


    An optimization algorithm employing multiple metamodels and optimizers

    Tenne, Y. | British Library Online Contents | 2013