Abstract
The big data technology has been widely used in power consumption behavior analysis and power user portrait. In this paper, the electricity data is constructed as two-dimensional time-series. Based on the designed data structure, a special kind of Artificial Neural Networks (ANNs) named as text convolutional neural networks (TCNN) is proposed for electricity theft detection. Moreover, considering the imbalance of electricity theft data in realistic datasets, a data augmentation method is proposed. Numerical results obtained on realistic datasets validate the proposed model.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: IOP Conference Series: Earth and Environmental Science
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.