This is the user manual of toolbox in the paper named "An Open-Source Toolbox with Classical Classifiers for Electricity Theft Detection"
1. English version manual
Initially I posted the toolkit on the website:https://www.jianshu.com/p/b12df6a004ee. It is now moved to github.
It includes four files. After the user selects all the files, tap the Download button.
Toolbox: A group of .fig files with the graphical user interface (GUI) and a set of .m files with basic codes of the data generator and classical classifiers.
Raw data: real household power load profiles from block 1 of smart meters in low carbon London.
Generated data: The authors have used the raw data to generate the dataset. The user can use the author's data.
Original codes: a set of .m files. Toolbox is relatively inflexible, and users can modify the structure of the classifier with source code.
Video Instructions links: https://www.bilibili.com/video/BV1ZU4y1A7HS?spm_id_from=333.999.0.0