SMART CAMPUS ELECTRICITY DATA VISUAL ANALYSIS SYSTEM

Abstract. Smart grid is the basic support of smart city development. The application of visual analytics to electricity system helps monitor and analyse the characteristic information in electricity data, which provides a strong guarantee for mastering the operation status of electricity system and achieving effective energy planning. However, as the complexity and size of electricity data continues to grow, it increases the burden on electricity workers to understand and analyse the electricity consumption situation. In response to these problems, a new type of electricity data visualisation and analysis system has been proposed, which enables interactive analysis of large amounts of electricity data. The system has the following advantages. First, A novel visualisation graphic has been designed and implemented to enable electricity workers to visualise a comprehensive picture of electricity consumption at different granularities. Second, designing appropriate visualisations to highlight the characteristics of the data itself, depending on the specific needs and type of data. Finally, the system provides a set of coupled visual views and interactions to support system users to freely explore the campus electricity situation from multiple scales.

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch

Erschienen in
SMART CAMPUS ELECTRICITY DATA VISUAL ANALYSIS SYSTEM ; volume:XLIII-B4-2022 ; year:2022 ; pages:447-453 ; extent:7
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLIII-B4-2022 (2022), 447-453 (gesamt 7)

Klassifikation
Natürliche Ressourcen, Energie und Umwelt

Urheber
Guo, S.
Jing, C.
Zhang, H.
Lv, X.
Li, W.

DOI
10.5194/isprs-archives-XLIII-B4-2022-447-2022
URN
urn:nbn:de:101:1-2022060905314713119891
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
15.08.2025, 07:30 MESZ

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Beteiligte

  • Guo, S.
  • Jing, C.
  • Zhang, H.
  • Lv, X.
  • Li, W.

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