Ιδρυματικό Αποθετήριο [SANDBOX]
Πολυτεχνείο Κρήτης
EN  |  EL

Αναζήτηση

Πλοήγηση

Ο Χώρος μου

Effective electricity theft detection in power distribution grids using an adaptive neuro fuzzy inference system

Blazakis Konstantinos, Kapetanakis Theodoros N., Stavrakakis Georgios

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/C741C6B5-DBB6-43B8-9A82-F7077D8FD63C-
Αναγνωριστικόhttps://doi.org/10.3390/en13123110-
Αναγνωριστικόhttps://www.mdpi.com/1996-1073/13/12/3110/htm-
Γλώσσαen-
Μέγεθος13 pagesel
Μέγεθος4,14 megabytesen
ΤίτλοςEffective electricity theft detection in power distribution grids using an adaptive neuro fuzzy inference systemen
ΔημιουργόςBlazakis Konstantinosen
ΔημιουργόςΜπλαζακης Κωνσταντινοςel
ΔημιουργόςKapetanakis Theodoros N.en
ΔημιουργόςStavrakakis Georgiosen
ΔημιουργόςΣταυρακακης Γεωργιοςel
ΕκδότηςMDPIen
ΠερίληψηElectric power grids are a crucial infrastructure for the proper operation of any country and must be preserved from various threats. Detection of illegal electricity power consumption is a crucial issue for distribution system operators (DSOs). Minimizing non-technical losses is a challenging task for the smooth operation of electrical power system in order to increase electricity provider’s and nation’s revenue and to enhance the reliability of electrical power grid. The widespread popularity of smart meters enables a large volume of electricity consumption data to be collected and new artificial intelligence technologies could be applied to take advantage of these data to solve the problem of power theft more efficiently. In this study, a robust artificial intelligence algorithm adaptive neuro fuzzy inference system (ANFIS)—with many applications in many various areas—is presented in brief and applied to achieve more effective detection of electric power theft. To the best of our knowledge, there are no studies yet that involve the application of ANFIS for the detection of power theft. The proposed technique is shown that if applied properly it could achieve very high success rates in various cases of fraudulent activities originating from unauthorized energy usage. en
ΤύποςPeer-Reviewed Journal Publicationen
ΤύποςΔημοσίευση σε Περιοδικό με Κριτέςel
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2022-03-02-
Ημερομηνία Δημοσίευσης2020-
Θεματική ΚατηγορίαData miningen
Θεματική ΚατηγορίαAdaptive neuro fuzzy inference system (ANFIS)en
Θεματική ΚατηγορίαNon-technical losses (NTLs)en
Θεματική ΚατηγορίαPower theft detectionen
Θεματική ΚατηγορίαSmart griden
Θεματική ΚατηγορίαSmart electricity meteringen
Θεματική ΚατηγορίαPower distribution gridsen
Βιβλιογραφική ΑναφοράK. V. Blazakis, T. N. Kapetanakis, and G. S. Stavrakakis, “Effective electricity theft detection in power distribution grids using an adaptive neuro fuzzy inference system,” Energies, vol. 13, no. 12, June 2020, doi: 10.3390/en13123110en

Διαθέσιμα αρχεία

Υπηρεσίες

Στατιστικά