Work

Wide and Deep Convolutional Neural Networks for Electricity-Theft Detection to Secure Smart Grids

Year: 2017

Type: article

Source: IEEE Transactions on Industrial Informatics

DOI: 10.1109/tii.2017.2785963

Authors: Zibin Zheng, Yatao Yang, Xiangdong Niu, Hong-Ning Dai, Yuren Zhou

Institutions: Sun Yat-sen University, Macau University of Science and Technology

Language: English

Topic: Electricity Theft Detection Techniques

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, Pearl River S and T Nova Program of Guangzhou, National Key Research and Development Program of China

Awards: G1024389717, G1219302554, 面向大规模服务系统的在线服务质量预测方法研究, G8199004219

OpenAlex ID: W2776990447

FWCI: 13.72

Cites: 40

Cited by: 814

Related to: 10