Electricity theft detection based on stacked sparse denoising autoencoder
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Electricity theft detection based on stacked sparse denoising autoencoder
Authors
Keywords
Electricity theft detection, Stack autoencoder, Feature extraction, Data reconstruction, Receiver operating characteristic curve
Journal
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
Volume 125, Issue -, Pages 106448
Publisher
Elsevier BV
Online
2020-08-20
DOI
10.1016/j.ijepes.2020.106448
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Stacked pruning sparse denoising autoencoder based intelligent fault diagnosis of rolling bearings
- (2020) Haiping Zhu et al. APPLIED SOFT COMPUTING
- A practical feature-engineering framework for electricity theft detection in smart grids
- (2019) Rouzbeh Razavi et al. APPLIED ENERGY
- Power Quality Disturbances Recognition Using Modified S Transform and Parallel Stack Sparse Auto-encoder
- (2019) Wei Qiu et al. ELECTRIC POWER SYSTEMS RESEARCH
- A Physically Inspired Data-Driven Model for Electricity Theft Detection With Smart Meter Data
- (2019) Yuanqi Gao et al. IEEE Transactions on Industrial Informatics
- Review of non-technical loss detection methods
- (2018) George M. Messinis et al. ELECTRIC POWER SYSTEMS RESEARCH
- Evaluating Detectors on Optimal Attack Vectors that enable Electricity Theft and DER Fraud
- (2018) Varun Badrinath Krishna et al. IEEE Journal of Selected Topics in Signal Processing
- Wide and Deep Convolutional Neural Networks for Electricity-Theft Detection to Secure Smart Grids
- (2018) Zibin Zheng et al. IEEE Transactions on Industrial Informatics
- An efficient deep model for day-ahead electricity load forecasting with stacked denoising auto-encoders
- (2018) Chao Tong et al. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
- On the Study of Commercial Losses in Brazil: A Binary Black Hole Algorithm for Theft Characterization
- (2018) Caio C. O. Ramos et al. IEEE Transactions on Smart Grid
- Detection of energy theft and defective smart meters in smart grids using linear regression
- (2017) Sook-Chin Yip et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Cyberbullying Detection Based on Semantic-Enhanced Marginalized Denoising Auto-Encoder
- (2017) Rui Zhao et al. IEEE Transactions on Affective Computing
- Real-Time Detection of False Data Injection Attacks in Smart Grid: A Deep Learning-Based Intelligent Mechanism
- (2017) Youbiao He et al. IEEE Transactions on Smart Grid
- Electricity Theft Detection in AMI Using Customers’ Consumption Patterns
- (2016) Paria Jokar et al. IEEE Transactions on Smart Grid
- Electricity theft: Overview, issues, prevention and a smart meter based approach to control theft
- (2010) Soma Shekara Sreenadh Reddy Depuru et al. ENERGY POLICY
- Nontechnical Loss Detection for Metered Customers in Power Utility Using Support Vector Machines
- (2009) Jawad Nagi et al. IEEE TRANSACTIONS ON POWER DELIVERY
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started