• 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