A Novel Combined DenseNet and Gated Recurrent Unit Approach to Detect Energy Thefts in Smart Grids

Due to the illegal use of electricity, non-technical losses are exponentially increasing in electricity distribution systems day by day. With the debut of smart meters in the smart grid, new electricity theft attacks are welcomed. The investigation of abnormal electricity consumption patterns helps...

תיאור מלא

מידע ביבליוגרפי

Principais autores:	Afrah Naeem, Zeeshan Aslam, Tamara Al Shloul, Aqdas Naz, Muhammad Imran Nadeem, Mosleh Hmoud Al-Adhaileh, Yazeed Yasin Ghadi, Heba G. Mohamed
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2023-01-01
סדרה:	IEEE Access
נושאים:	DenseNet-fully convolutional network oversampling electricity theft detection light gradient boosting method machine learning gated recurrent unit
גישה מקוונת:	https://ieeexplore.ieee.org/document/10149326/
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!