Szczegóły publikacji
Opis bibliograficzny
Anticipated network of optimizers for energy applications in space / Anna JAROSZ // W: KGK 2023 : selected proceedings of the 6th space resources conference : [Kraków, Poland, May 15th - May 16th, 2023] / eds. Agata Kołodziejczyk, Joanna Pyrkosz-Pacyna, Krzysztof Grabowski, Katarzyna Malinowska, Olga Sergijenko. — Cham, Switzerland : Springer Nature, cop. 2024. — (Springer Aerospace Technology ; ISSN 1869-1730). — ISBN: 978-3-031-53609-0; e-ISBN: 978-3-031-53610-6. — s. 241–247. — Bibliogr., Abstr. — Publikacja dostępna online od: 2024-05-14
Autor
Dane bibliometryczne
| ID BaDAP | 153190 |
|---|---|
| Data dodania do BaDAP | 2024-05-31 |
| DOI | 10.1007/978-3-031-53610-6_20 |
| Rok publikacji | 2024 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Czasopismo/seria | Springer Aerospace Technology |
Abstract
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.
