Issue |
E3S Web Conf.
Volume 185, 2020
2020 International Conference on Energy, Environment and Bioengineering (ICEEB 2020)
|
|
---|---|---|
Article Number | 01025 | |
Number of page(s) | 5 | |
Section | Energy Engineering and Power System | |
DOI | https://doi.org/10.1051/e3sconf/202018501025 | |
Published online | 01 September 2020 |
Electricity Safety Analysis and Improvement Based on User Classification
1 State Grid Shandong Electric Power Research Institute, Jinan, Shandong
, 250000, China
2 ZhongShiYiTong Group, Jinan, Shandong, 250000, China
* Corresponding author’s e-mail: 2008anewbegin@sina.com
Analyzing electricity consumption behavior by classifying user groups and knowing each group’s characteristics are an important way to realize intelligent power consumption. This paper firstly classifies different types of users based on power consumption data and grasps the power consumption behavior of typical users. The main causes of accidents and alarms are then discussed based on the recorded events and power consumption curve. Finally, the corresponding solutions, which take the user’s social attributes and electricity consumption behavior into consideration are put forward to avoid the potential accidents.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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