Search Results for author:
Found 3 papers, 1 papers with code
Smart Meter Data Anomaly Detection using Variational Recurrent Autoencoders with Attention
This paper proposes an unsupervised anomaly detection method based on a Variational Recurrent Autoencoder with attention mechanism.
SEGSys: A mapping system for segmentation analysis in energy
This paper showcases the system on the segmentation analysis using an electricity consumption data set and validates the effectiveness of the system.
Databases
Regression-based Online Anomaly Detection for Smart Grid Data
With the widely used smart meters in the energy sector, anomaly detection becomes a crucial mean to study the unusual consumption behaviors of customers, and to discover unexpected events of using energy promptly.
Databases
