Projects per year
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 language | English |
---|---|
Title of host publication | Proceedings of the 23rd International Conference on Extending Database Technology |
Publisher | OpenProceedings.org |
Publication date | 2020 |
Pages | 579-582 |
ISBN (Electronic) | 978-3-89318-083-7 |
DOIs | |
Publication status | Published - 2020 |
Event | 23rd International Conference on Extending Database Technology - Copenhagen, Denmark Duration: 30 Mar 2020 → 2 Apr 2020 Conference number: 23 |
Conference
Conference | 23rd International Conference on Extending Database Technology |
---|---|
Number | 23 |
Country/Territory | Denmark |
City | Copenhagen |
Period | 30/03/2020 → 02/04/2020 |
Fingerprint
Dive into the research topics of 'VAP: A Visual Analysis Tool for Energy Consumption Spatio-temporal Pattern'. Together they form a unique fingerprint.Projects
- 1 Finished
-
CVAES: Cognitive Visual Analytics for Smart Energy Systems
Liu, X. (PI) & Niu, Z. (Project Participant)
01/10/2019 → 30/09/2021
Project: Research