EcoVis: visual analysis of industrial-level spatio-temporal correlations in electricity consumption

doi:10.1007/s11704-020-0088-8

Front. Comput. Sci.

2022, Vol. 16

Issue (2) : 162604 https://doi.org/10.1007/s11704-020-0088-8

RESEARCH ARTICLE

EcoVis: visual analysis of industrial-level spatio-temporal correlations in electricity consumption

Yong XIAO¹, Kaihong ZHENG²(

), Supaporn LONAPALAWONG³, Wenjie LU³, Zexian CHEN³, Bin QIAN¹, Tianye ZHANG³, Xin WANG⁴, Wei CHEN³

¹. Electric Power Research Institute, China Southern Power Grid, Guangzhou 510663, China
². Digital Grid Research Institute, China Southern Power Grid, Guangzhou 510663, China
³. The State Key Lab of CAD & CG, Zhejiang University, Hangzhou 310058, China
⁴. School of Computer Science, Zhejiang University, Hangzhou 310058, China

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Abstract

Closely related to the economy, the analysis and management of electricity consumption has been widely studied. Conventional approaches mainly focus on the prediction and anomaly detection of electricity consumption, which fails to reveal the in-depth relationships between electricity consumption 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 correlation 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 distributions 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.

Keywords spatio-temporal data electricity consumption correlation analysis visual analysis visualization

Corresponding Author(s): Kaihong ZHENG

Just Accepted Date: 13 May 2020 Issue Date: 18 September 2021

Cite this article:

Yong XIAO,Kaihong ZHENG,Supaporn LONAPALAWONG, et al. EcoVis: visual analysis of industrial-level spatio-temporal correlations in electricity consumption[J]. Front. Comput. Sci., 2022, 16(2): 162604.

URL:

https://academic.hep.com.cn/fcs/EN/10.1007/s11704-020-0088-8
https://academic.hep.com.cn/fcs/EN/Y2022/V16/I2/162604

Fig.1 The EcoVis interface: (a) the control panel to select the data source, (b) the industry map to show the distribution of different industries, (c) the correlation graph representing correlations across industries, (d) projection views to show the correlation between time windows, (e) the correlation matrix, and (f) the consumption curve

Fig.2 Our system contains three modules: a data module, a data analysis module and the visualization module

Fig.3 The construction process of the correlation graph. (a) Set of all industry; (b) electricity series; (c) matrix construction; (d) adjacency matrices; (e) graph construction

Fig.4 The pattern of projection view: a graph group and a turning point

Fig.5 The construction process of the projection

Tab.1 Comparison of correlation analysis methods

Fig.6 The first case study analyzes the spatial distribution of industries. (a) The locations of two industry groups are shown in the industry map; (b) the electricity use of two industries are represented in the timeline view

Fig.7 The second case study analyzes the temporal distribution of industries

Fig.8 Identifying the Connections Between the Spatial and the Temporal Correlations. (a) Spatial comparison; (b) Temporal comparison

Fig.9 Overview of the electricity usage of industrial groups. (a) Similar industry group; (b) Correlation view; (c) Electricity usage pattern

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