Smart Meter Synthetic Data Generator development in python using FBProphet

P. Ezhilarasi*, L. Ramesh, Xiufeng Liu, Jens Bo Holm-Nielsen

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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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.
Original languageEnglish
Article number100468
JournalSoftware Impacts
Publication statusPublished - 2023


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


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