52 citations · 97 across the 4 of their papers we have counts for
4 papers
Smart Meter Data Anomaly Detection using Variational Recurrent Autoencoders with Attention
Wenjing Dai, Xiufeng Liu, Alfred Heller +1
In the digitization of energy systems, sensors and smart meters are increasingly being used to monitor production, operation and demand. Detection of anomalies based on smart meter…
SEGSys: A mapping system for segmentation analysis in energy
Xiufeng Liu, Rongling Li, Yi Wang +1
Customer segmentation analysis can give valuable insights into the energy efficiency of residential buildings. This paper presents a mapping system, SEGSys that enables segmentatio…
A Hybrid ICT-Solution for Smart Meter Data Analytics
Xiufeng Liu, Per Sieverts Nielsen
Smart meters are increasingly used worldwide. Smart meters are the advanced meters capable of measuring energy consumption at a fine-grained time interval, e.g., every 15 minutes.…
Regression-based Online Anomaly Detection for Smart Grid Data
Xiufeng Liu, Per Sieverts Nielsen
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…