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Application of smart metering systems for energy losses assessment and forecasting in distribution systems

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper presents a proper methodology for assessing and forecasting the active energy losses in LV distribution networks, based on the real measurements, provided by smart meters. The proposed methodology uses a characteristic load profile estimation based on knowledge data discover (KDD) approach and daily energy. The results are comparable with the real case, that use the energy profile from smart meters.
Rocznik
Tom
Strony
51--57
Opis fizyczny
Bibliogr. 6 poz.
Twórcy
autor
  • Gheorghe Asachi Technical University, Faculty of Electrical Engineering, 21-23 D. Mangeron Bivd Iasi, Romania
autor
  • Gheorghe Asachi Technical University, Faculty of Electrical Engineering, 21-23 D. Mangeron Bivd Iasi, Romania
autor
  • Gheorghe Asachi Technical University, Faculty of Electrical Engineering, 21-23 D, Mangeron Bivd Iasi, Romania
Bibliografia
  • 1. Levenda, A., Mahmoudi, D., Sussman, G., "TheNeoliberal Politics of “Smart”: Electricity Consumption, Household Monitoring, and the Enterprise Form”, Canadian Journal of Communication, v. 40, n. 4, nov. 2015, pp. 615-636.
  • 2. Queiroz L., CaveIIucci C., Lyra C., ”Evaluation Of Teclinical Losses Estimation In LV Power Distribution Systems”, Cired, Prague, 2009.
  • 3. Fidalgo J. N., Matos М., Marąues М., "Estimation and Allocation of Losses in Distribution Networks”, http://www.aedie.org/9CHLIE-paper-send/350-FIDALGO.pdf.
  • 4. Neagu B.C., Grigoras G., TomaN.C,”Detection of Irregular Consumption to Load Monitoring in Smart Grids Enyironment”, 22nd IMEKOTC4 International Symposium&20th International Workshop on ADC Modelling and Testing, łasi, Romania, September 14-15, 2017.
  • 5. Gilchrist, М., Mooers, D., Skrubbeltrang, G., Vachon, F., "Knowledge discovery in databases for competitive advantage”, Journal of Management & Strategy, 3(2), 2010, pp. 2-15.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-755645e4-8f84-4d91-9d81-cf10462a69cd
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