| Title |
Smart Campus Electricity Data Visual Analysis System |
| ID_Doc |
49222 |
| Authors |
Guo S.; Jing C.; Zhang H.; Lv X.; Li W. |
| Year |
2022 |
| Published |
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 43, B4-2022 |
| DOI |
http://dx.doi.org/10.5194/isprs-archives-XLIII-B4-2022-447-2022 |
| 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. © 2022 S. Guo et al. |
| Author Keywords |
Data Mining; Electricity Data; Graphic Design; Smart Campus; Visual Analytics; Visualization System |
