Electricity Theft Detection Techniques
Electricity Theft Detection Techniques is a topic indexed in ScholarIQ from OpenAlex.
What is known about Electricity Theft Detection Techniques?
This cluster of papers focuses on the detection and prevention of electricity theft in smart grids, particularly through the use of advanced metering infrastructure, machine learning, deep learning, and anomaly detection techniques. The research explores methods such as support vector machines, decision trees, convolutional neural networks, and feature engineering to address non-technical losses and improve the security of electricity distribution systems.
How many works does Electricity Theft Detection Techniques have?
Electricity Theft Detection Techniques has 14,549 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
How many citations does Electricity Theft Detection Techniques have?
Electricity Theft Detection Techniques has 53,438 citations in the OpenAlex counts ScholarIQ stores.
What is the OpenAlex record for Electricity Theft Detection Techniques?
The OpenAlex for Electricity Theft Detection Techniques is on the source record.