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| Overview of visualization research on electricity consumption data |
| DOI：DOI: 10.19783/j.cnki.pspc.210913 |
| Key Words:electricity consumption data visualization visual analysis visualization application |
| Author Name | Affiliation | | ZHENG Kaihong | 1. China Southern Power Grid Digital Grid Research Institute Co., Ltd., Guangzhou 510663, China
2. China Southern
Power Grid Co., Ltd. Marketing Department, Guangzhou 510663, China
3. College of Computer Science and
Technology, Zhejiang University, Hangzhou 310058, China | | YANG Jingfeng | 1. China Southern Power Grid Digital Grid Research Institute Co., Ltd., Guangzhou 510663, China
2. China Southern
Power Grid Co., Ltd. Marketing Department, Guangzhou 510663, China
3. College of Computer Science and
Technology, Zhejiang University, Hangzhou 310058, China | | WANG Xin | 1. China Southern Power Grid Digital Grid Research Institute Co., Ltd., Guangzhou 510663, China
2. China Southern
Power Grid Co., Ltd. Marketing Department, Guangzhou 510663, China
3. College of Computer Science and
Technology, Zhejiang University, Hangzhou 310058, China | | LI Sheng | 1. China Southern Power Grid Digital Grid Research Institute Co., Ltd., Guangzhou 510663, China
2. China Southern
Power Grid Co., Ltd. Marketing Department, Guangzhou 510663, China
3. College of Computer Science and
Technology, Zhejiang University, Hangzhou 310058, China | | ZENG Lukun | 1. China Southern Power Grid Digital Grid Research Institute Co., Ltd., Guangzhou 510663, China
2. China Southern
Power Grid Co., Ltd. Marketing Department, Guangzhou 510663, China
3. College of Computer Science and
Technology, Zhejiang University, Hangzhou 310058, China | | GONG Qihang | 1. China Southern Power Grid Digital Grid Research Institute Co., Ltd., Guangzhou 510663, China
2. China Southern
Power Grid Co., Ltd. Marketing Department, Guangzhou 510663, China
3. College of Computer Science and
Technology, Zhejiang University, Hangzhou 310058, China |
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| Abstract:Visualization is one key technology to mine the rich information contained in electricity consumption data. Its related research hot spots are mainly display in the following four areas. The visual analysis forms mainly include standard charts such as stack area and some custom charts. The visualization monitoring system is often used to analyze the energy consumption of buildings and industrial processes, and it can play a role in the correction of electricity consumption behavior. Abnormal electricity consumption visualization includes abnormal metering data and abnormal consumption behaviors, so as to improve the quality of metering data from the source and reduce the workload in preventing electricity theft. The electricity consumption data mining visualization focuses on more real-time interactive matters in electricity consumption prediction and the presentation of a clustering analysis process in user classification. There are some shortcomings in previous studies, such as small data size, low data dimension and no consideration of external factors. In the future, the data magnitude and spatio-temporal range should be improved, multiple source data should be fused and an electricity data model with finer granularity should be established.
This work is supported by the National Key Research and Development Program of China (No. 2020YFB0906004). |
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