Improving SVM-based nontechnical loss detection in power utility using the fuzzy inference system

This letter extends previous research work in modeling a nontechnical loss (NTL) framework for the detection of fraud and electricity theft in power distribution utilities. Previous work was carried out by using a support vector machine (SVM)-based NTL detection framework resulting in a detection hi...

詳細記述

保存先:
書誌詳細
主要な著者: Nagi, J., Yap, K.S., Tiong, S.K., Ahmed, S.K., Nagi, F.
フォーマット: 論文
言語:English
出版事項: 2017
タグ: タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!