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|Abstract=In this paper, we focus on a real world scenario of managing electrical demand sets of a smart-home. External signals, reflecting the low voltage grid's state, are used to support the challenge of balancing energy demand and generation. To manage the smart-home's appliances and to integrate electric vehicles as energy storages decentralized control systems are investigated.
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|Abstract=In this paper, we focus on a real world scenario of managing electrical demand sets of a smart-home. External signals, reflecting the low voltage grid's state, are used to support the challenge of balancing energy demand and generation. To manage the smart-home's appliances and to integrate electric vehicles as energy storages decentralised control systems are investigated.
 
|DOI Name=10.1007/978-3-642-11950-7_14
 
|DOI Name=10.1007/978-3-642-11950-7_14
 
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Aktuelle Version vom 3. Juli 2015, 13:15 Uhr


Decentralised Energy-Management to Control Smart-Home Architectures


Decentralised Energy-Management to Control Smart-Home Architectures



Published: 2010 Februar
Herausgeber: Christian Müller-Schloer, Wolfgang Karl, and Sami Yehia
Buchtitel: Proceedings of the 23rd International Conference on Architecture of Computing Systems (ARCS 2010)
Ausgabe: 5974
Reihe: LNCS
Seiten: 150-161
Verlag: Springer
Erscheinungsort: Berlin Heidelberg

Referierte Veröffentlichung

BibTeX


Kurzfassung
In this paper, we focus on a real world scenario of managing electrical demand sets of a smart-home. External signals, reflecting the low voltage grid's state, are used to support the challenge of balancing energy demand and generation. To manage the smart-home's appliances and to integrate electric vehicles as energy storages decentralised control systems are investigated.

DOI Link: 10.1007/978-3-642-11950-7_14

Projekt

MEREGIOmobil


Verknüpfte Tools

Energy Smart Home Lab


Forschungsgruppe

Effiziente Algorithmen


Forschungsgebiet

Organic Computing, Energieinformatik