典型文献
EcoVis:visual analysis of industrial-level spatio-temporal correlations in electricity consumption
文献摘要：
Closely related to the economy,the analysis and management of electricity consumption has been widely stu-died.Conventional approaches mainly focus on the prediction and anomaly detection of electricity consumption,which fails to reveal the in-depth relationships between electricity consump-tion and various factors such as industry,weather etc..In the meantime,the lack of analysis tools has increased the difficulty in analytical tasks such as correlation analysis and comparative analysis.In this paper,we introduce EcoVis,a visual analysis system that supports the industrial-level spatio-temporal correla-tion analysis in the electricity consumption data.We not only propose a novel approach to model spatio-temporal data into a graph structure for easier correlation analysis,but also introduce a novel visual representation to display the distribu-tions of multiple instances in a single map.We implement the system with the cooperation with domain experts.Experiments are conducted to demonstrate the effectiveness of our method.
文献关键词：
中图分类号：
作者姓名：
Yong XIAO;Kaihong ZHENG;Supaporn LONAPALAWONG;Wenjie LU;Zexian CHEN;Bin QIAN;Tianye ZHANG;Xin WANG;Wei CHEN
作者机构：
Electric Power Research Institute,China Southern Power Grid,Guangzhou 510663,China;Digital Grid Research Institute,China Southern Power Grid,Guangzhou 510663,China;The State Key Lab of CAD&CG,Zhejiang University,Hangzhou 310058,China;School of Computer Science,Zhejiang University,Hangzhou 310058,China
文献出处：
引用格式：
[1]Yong XIAO;Kaihong ZHENG;Supaporn LONAPALAWONG;Wenjie LU;Zexian CHEN;Bin QIAN;Tianye ZHANG;Xin WANG;Wei CHEN-.EcoVis:visual analysis of industrial-level spatio-temporal correlations in electricity consumption)[J].计算机科学前沿,2022(02):93-103
A类：
EcoVis,Closely
B类：
visual,analysis,industrial,level,spatio,temporal,correlations,electricity,consumption,related,economy,management,has,been,widely,stu,died,Conventional,approaches,mainly,focus,prediction,anomaly,detection,which,fails,reveal,depth,relationships,between,various,factors,such,industry,weather,etc,In,meantime,lack,tools,increased,difficulty,analytical,tasks,comparative,this,paper,introduce,system,that,supports,data,We,not,only,propose,novel,model,into,graph,structure,easier,but,also,representation,display,distribu,multiple,instances,single,map,implement,cooperation,domain,experts,Experiments,are,conducted,demonstrate,effectiveness,our,method
AB值：
0.568608
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