Phdthesis3084: Unterschied zwischen den Versionen
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{{Publikation Erster Autor | {{Publikation Erster Autor | ||
− | |ErsterAutorNachname=Rios | + | |ErsterAutorNachname=Rios Silva |
− | |ErsterAutorVorname=Fredy | + | |ErsterAutorVorname=Fredy Hernan |
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{{Phdthesis | {{Phdthesis | ||
|Title=Stigmergy-Based Load Scheduling in a Demand Side Management Context | |Title=Stigmergy-Based Load Scheduling in a Demand Side Management Context | ||
− | |Instructor=Hartmut Schmeck | + | |Instructor=Hartmut Schmeck; Wolf Fichtner |
|Date=2016/06/09 | |Date=2016/06/09 | ||
|School=KIT, Fakultät für Wirtschaftswissenschaften | |School=KIT, Fakultät für Wirtschaftswissenschaften | ||
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{{Publikation Details | {{Publikation Details | ||
− | |Forschungsgruppe=Effiziente Algorithmen | + | |Abstract=This work proposes an approach, based on a fundamental coordination mechanism from nature, namely stigmergy. The proposed meta-heuristic is utilized to distributively calculate global schedules for a population of customers provided with intelligent devices. These schedules maximize renewable energy sources utilization. Furthermore, this approach is adapted and utilized as a coordination mechanism of autonomous customers to modify their consumption behavior in a real-time optimization context. |
+ | |DOI Name=10.5445/IR/1000055801 | ||
+ | |Forschungsgruppe=Effiziente Algorithmen/en | ||
}} | }} | ||
{{Forschungsgebiet Auswahl | {{Forschungsgebiet Auswahl | ||
|Forschungsgebiet=Energieinformatik | |Forschungsgebiet=Energieinformatik | ||
}} | }} |
Aktuelle Version vom 4. August 2021, 16:47 Uhr
Datum: 9. Juni 2016
KIT, Fakultät für Wirtschaftswissenschaften
Erscheinungsort / Ort: Karlsruhe
Referent(en): Hartmut Schmeck, Wolf Fichtner
BibTeX
Kurzfassung
This work proposes an approach, based on a fundamental coordination mechanism from nature, namely stigmergy. The proposed meta-heuristic is utilized to distributively calculate global schedules for a population of customers provided with intelligent devices. These schedules maximize renewable energy sources utilization. Furthermore, this approach is adapted and utilized as a coordination mechanism of autonomous customers to modify their consumption behavior in a real-time optimization context.
DOI Link: 10.5445/IR/1000055801
Effiziente Algorithmen/en„Effiziente Algorithmen/en“ befindet sich nicht in der Liste (Effiziente Algorithmen, Komplexitätsmanagement, Betriebliche Informationssysteme, Wissensmanagement, Angewandte Technisch-Kognitive Systeme, Information Service Engineering, Critical Information Infrastructures, Web Science und Wissensmanagement, Web Science, Ökonomie und Technologie der eOrganisation, ...) zulässiger Werte für das Attribut „Forschungsgruppe“.