DocumentCode :
1622145
Title :
Electrical energy consumption estimation in water distribution systems using a clustering based method
Author :
Grigoras, Gheorghe ; Istrate, Marcel ; Scarlatache, Florina
Author_Institution :
Fac. of Electr. Eng., “Gheorghe Asachi” Tech. Univ. of Iasi, Iasi, Romania
fYear :
2013
Firstpage :
1
Lastpage :
6
Abstract :
The paper focuses on the development of a method based on representative load profiles of the hydrophore stations, in order to electrical energy consumption estimation in the water distribution system. The proposed method is based on two stages in which K-means clustering algorithm and a load simulation technique are exploited for estimating the electrical energy consumption. The method was tested on an urban water distribution system consists of 73 hydrophore stations. Results obtained demonstrate the ability of the proposed method to become the first step of an efficient management in the water distribution systems.
Keywords :
pattern clustering; power consumption; water supply; electrical energy consumption estimation; hydrophore stations; k-means clustering algorithm; load simulation technique; representative load profiles; urban water distribution system; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Databases; Energy consumption; Estimation; Load modeling; clustering; electrical energy consumption; representative load profiles; water distribution system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Computers and Artificial Intelligence (ECAI), 2013 International Conference on
Conference_Location :
Pitesti
Print_ISBN :
978-1-4673-4935-2
Type :
conf
DOI :
10.1109/ECAI.2013.6636174
Filename :
6636174
Link To Document :
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