VAP: A Visual Analysis Tool for Energy Consumption Spatio-temporal Pattern

Xiufeng Liu, Zhibin Niu, Yanyan Yang , Junqi Wu, Dawei Cheng, Xin Wang

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Abstract

In the context of urbanization and the rapid growth of energy demand, understanding the spatial and temporal dynamics of urban energy use is crucial for identifying energy-saving potentials. In this demo, we present a visual analysis tool, VAP, that allows users to explore the dynamics of urban energy use at different spatial and temporal scales. In contrast to traditional statistical and machine learning methods, the visual analysis based tool focuses on analytical thinking, user interactions and answering business questions by examining different visual analysis views. In the demonstration, conference attendees will interact with VAP and learn its capabilities in discovering typical consumption patterns and spatio-temporal shift patterns from a real-world case study of electricity.
Original languageEnglish
Title of host publicationProceedings of the 23rd International Conference on Extending Database Technology
Publication date2020
Pages579-582
DOIs
Publication statusPublished - 2020
Event23rd International Conference on Extending Database Technology - Copenhagen, Denmark
Duration: 30 Mar 20202 Apr 2020

Conference

Conference23rd International Conference on Extending Database Technology
CountryDenmark
CityCopenhagen
Period30/03/202002/04/2020

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