Smart Meter Synthetic Data Generator development in python']python using FBProphet

被引：1

作者：

Ezhilarasi, P. ^{[1
]}

Ramesh, L. ^{[2
]}

Liu, Xiufeng ^{[3
]}

Holm-Nielsen, Jens Bo ^{[4
]}

机构：

[1] Dr MGR Educ & Res Inst, Elect & Commun Engn, Chennai 600095, India

[2] Dr MGR Educ & Res Inst, Elect & Elect Engn, Chennai 600095, India

[3] Tech Univ Denmark, Dept Technol, Management & Econ, Lyngby, Denmark

[4] Aalborg Univ, Dept Energy Technol, DK-6700 Aalborg, Denmark

来源：

SOFTWARE IMPACTS | 2023年 / 15卷

关键词：

Smart meter; Data generator; Time-series; Synthetic data;

D O I：

10.1016/j.simpa.2023.100468

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Data-science is a key component of modern science since it fuels AI, ML and data analytics, etc. As the electrical grid has been modernized into a smart grid, it has also become increasingly dependent on data science to monitor and control grid activity. Realistic data is essential to evaluating the algorithm's workability but it is difficult to obtain real smart meter data due to strict privacy and security policies of many countries. In this paper, using the prophet library, we code and develop a prediction-based Synthetic Data Generator GUI, which generate the synthetic data sets.

引用

页数：5

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