52 citations · 110 across the 10 of their papers we have counts for
10 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…
: Visual Exploration of Spatiotemporal Energy Demand
Junqi Wu, Zhibin Niu, Jing Wu +2
Understanding demand-side energy behaviour is critical for making efficiency responses for energy demand management. We worked closely with energy experts and identified the key el…
A Spark ML driven preprocessing approach for deep learning based scholarly data applications
Samiya Khan, Xiufeng Liu, Mansaf Alam
Big data has found applications in multiple domains. One of the largest sources of textual big data is scientific documents and papers. Big scholarly data have been used in numerou…
Bivariate, Cluster and Suitability Analysis of NoSQL Solutions for Different Application Areas
Samiya Khan, Xiufeng Liu, Syed Arshad Ali +1
Big data systems development is full of challenges in view of the variety of application areas and domains that this technology promises to serve. Typically, fundamental design dec…
Storage Solutions for Big Data Systems: A Qualitative Study and Comparison
Samiya Khan, Xiufeng Liu, Syed Arshad Ali +1
Big data systems development is full of challenges in view of the variety of application areas and domains that this technology promises to serve. Typically, fundamental design dec…
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…
Two-level Data Staging ETL for Transaction Data
Xiufeng Liu
In data warehousing, Extract-Transform-Load (ETL) extracts the data from data sources into a central data warehouse regularly for the support of business decision-makings. The data…
Optimizing ETL Dataflow Using Shared Caching and Parallelization Methods
Xiufeng Liu
Extract-Transform-Load (ETL) handles large amount of data and manages workload through dataflows. ETL dataflows are widely regarded as complex and expensive operations in terms of…