An industry 4.0 based data analytics framework for the detection of non-technical losses in a smart grid
Author:
Affiliation:
1. Universidad Tecnológica de Pereira,Dept. Electrical Engineering,Pereira,Colombia
2. University of Florida,Dept. Ag. and Bio. Engineering,Gainesville,Florida,US
Funder
Universidad Tecnológica de Pereira
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10333304/10333342/10333569.pdf?arnumber=10333569
Reference20 articles.
1. Resolución creg 015 del 2018,2018
2. Resolución creg 036 del 2019,2019
3. Clustering-based novelty detection for identification of non-technical losses
4. A Novel Features-Based Multivariate Gaussian Distribution Method for the Fraudulent Consumers Detection in the Power Utilities of Developing Countries
5. Unsupervised Detection of Non-Technical Losses via Recursive Transform Learning
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