This is the user manual of a paper named "An Open-Source Toolbox with Classical Classifiers for Electricity Theft Detection"?
1.?English version manual
Download the toolbox linek:? https://pan.baidu.com/s/1j-mmnNbwkd7nKSeJb3Rrkg
password: 1234
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
If you have any questions, you can email me at: 851282212@qq.com
2.?Chinese version manual（中文版用戶手冊）
這是“An Open-Source Toolbox with Classical Classifiers for Electricity Theft Detection”這篇會議論文的用戶說明書。教讀者如何利用工具箱生成竊電數(shù)據(jù)集。
工具箱下載鏈接:?https://pan.baidu.com/s/1j-mmnNbwkd7nKSeJb3Rrkg
密碼: 1234
它包括4個(gè)子文件，點(diǎn)擊下載即可。
Toolbox:?一組GUI文件和對應(yīng)的m文件。這是工具箱的全部文件。
Raw data:?倫敦智能電表數(shù)據(jù)集中的其中一個(gè)數(shù)據(jù)，來源于第1個(gè)街區(qū)。
Generated data:這是作者事前，用raw data生成的數(shù)據(jù)集。讀者可以用這個(gè)數(shù)據(jù)集。
Original codes:??由于toolbox中的分類器網(wǎng)絡(luò)結(jié)構(gòu)沒那么靈活，讀者可以對源代碼進(jìn)行直接修改。
中文版視頻操作手冊鏈接: https://www.bilibili.com/video/BV1Cf4y1F7HZ?spm_id_from=333.999.0.0
假如你有疑問，可以發(fā)郵件給我：851282212@qq.com
