Data Augmentation Using BiWGAN, Feature Extraction and Classification by Hybrid 2DCNN and BiLSTM to Detect Non-Technical Losses in Smart Grids-Reference-Cited by-同舟云学术

Data Augmentation Using BiWGAN, Feature Extraction and Classification by Hybrid 2DCNN and BiLSTM to Detect Non-Technical Losses in Smart Grids

Author:

Asif Muhammad¹^ORCID,Nazeer Orooj¹,Javaid Nadeem¹^ORCID,Alkhammash Eman H.²,Hadjouni Myriam³

Affiliation:

1. Department of Computer Science, COMSATS University Islamabad, Islamabad, Pakistan

2. Department of Computer Science, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia

3. Department of Computer Sciences, College of Computer and Information Science, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

Reference46 articles.

1. Wasserstein generative adversarial networks;arjovsky;Proc Int Conf Mach Learn,2017

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