A distributed in-transit processing infrastructure for forecasting electric vehicle charging demand

Proceedings - 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2013

Volumn , Issue , 2013, Pages 538-545

  Tolosana Calasanz, Rafael ^a   Banãres, José Angel ^a   Cipcigan, Liana ^b   Rana, Omer ^b   Papadopoulos, Panagiotis ^d   Pham, Congduc ^c  

^a UNIVERSITY OF ZARAGOZA   (Spain)

^b CARDIFF UNIVERSITY   (United Kingdom)

^c UNIVERSITÉ DE PAU ET DES PAYS DE L'ADOUR   (France)

^d EDF ENERGY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DATA COLLECTION MECHANISM; DATA PROCESSING ARCHITECTURE; DEMAND VARIATIONS; ELECTRIC VEHICLE CHARGING; ELECTRIC VEHICLES (EVS); ELECTRICITY GRIDS; GEOGRAPHICAL AREA; PROCESSING INFRASTRUCTURES;

DATA PROCESSING; GRID COMPUTING;

ELECTRIC VEHICLES;

EID: 84881266149     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCGrid.2013.103     Document Type: Conference Paper

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