Mastering satellite operation : on model-based and data-driven optimal battery-aware scheduling
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
Saarbrücken, Universität des Saarlandes, Dissertation, 2022
- Schlagwort
-
Mathematisches Modell
Alterung
Batterie
Ladekennlinie
Elektrofahrzeug
- Ereignis
-
Veröffentlichung
- (wo)
-
Saarbrücken
- (wer)
-
Saarländische Universitäts- und Landesbibliothek
- (wann)
-
2021
- Urheber
-
Nies, Gilles
- Beteiligte Personen und Organisationen
- DOI
-
10.22028/D291-36938
- URN
-
urn:nbn:de:bsz:291--ds-369382
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:29 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Nies, Gilles
- Hermanns, Holger
- Saarländische Universitäts- und Landesbibliothek
Entstanden
- 2021
Ähnliche Objekte (12)
Energy aware hybrid flow shop scheduling
Carbon Intensity Aware Scheduling in Kubernetes
Energy aware hybrid flow shop scheduling
Deterministic, Stochastic, and Robust Cost-Aware Scheduling
CO2 aware job scheduling for data centers
Quality-aware scheduling for key-value data stores
Risk aware overbooking for SLA based scheduling systems
BEEhive - an Energy-Aware Scheduling and Routing Framework
Risk aware overbooking for SLA based scheduling systems
Carbon emission-aware job scheduling for Kubernetes deployments
SLA-aware resource scheduling algorithm for cloud storage
Incentive-aware virtual machine scheduling in cloud computing
Energy aware hybrid flow shop scheduling
Carbon Intensity Aware Scheduling in Kubernetes
Energy aware hybrid flow shop scheduling
Deterministic, Stochastic, and Robust Cost-Aware Scheduling
CO2 aware job scheduling for data centers
Quality-aware scheduling for key-value data stores
Risk aware overbooking for SLA based scheduling systems
BEEhive - an Energy-Aware Scheduling and Routing Framework
Risk aware overbooking for SLA based scheduling systems
Carbon emission-aware job scheduling for Kubernetes deployments
SLA-aware resource scheduling algorithm for cloud storage
Incentive-aware virtual machine scheduling in cloud computing
Energy aware hybrid flow shop scheduling
Carbon Intensity Aware Scheduling in Kubernetes
Energy aware hybrid flow shop scheduling
Deterministic, Stochastic, and Robust Cost-Aware Scheduling
CO2 aware job scheduling for data centers
Quality-aware scheduling for key-value data stores
Risk aware overbooking for SLA based scheduling systems
BEEhive - an Energy-Aware Scheduling and Routing Framework
Risk aware overbooking for SLA based scheduling systems
Carbon emission-aware job scheduling for Kubernetes deployments
SLA-aware resource scheduling algorithm for cloud storage