Smart meter synthetic data Generator development in python using FBProphet
Smart meter synthetic data Generator development in python using FBProphet
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.
Data generator, Smart meter, Synthetic data, Time-series
Ezhilarasi, P.
73d0454a-1488-43a5-a102-efdc3eb0fb02
Ramesh, L.
270dde2d-9553-4346-ba9b-ce8ade367520
Liu, Xiufeng
57413b43-dabd-49d7-a392-9e2649878e71
Holm-Nielsen, Jens Bo
9ea0859e-9a31-48c0-b904-2636f2003c50
3 February 2023
Ezhilarasi, P.
73d0454a-1488-43a5-a102-efdc3eb0fb02
Ramesh, L.
270dde2d-9553-4346-ba9b-ce8ade367520
Liu, Xiufeng
57413b43-dabd-49d7-a392-9e2649878e71
Holm-Nielsen, Jens Bo
9ea0859e-9a31-48c0-b904-2636f2003c50
Ezhilarasi, P., Ramesh, L., Liu, Xiufeng and Holm-Nielsen, Jens Bo
(2023)
Smart meter synthetic data Generator development in python using FBProphet.
Software Impacts, 15, [100468].
(doi:10.1016/j.simpa.2023.100468).
Abstract
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.
Text
Smart_Meter_Synthetic_Data_Generator_development_in_python_using_FBProphet
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More information
Accepted/In Press date: 15 January 2023
e-pub ahead of print date: 18 January 2023
Published date: 3 February 2023
Keywords:
Data generator, Smart meter, Synthetic data, Time-series
Identifiers
Local EPrints ID: 494981
URI: http://eprints.soton.ac.uk/id/eprint/494981
ISSN: 2665-9638
PURE UUID: b036953c-b555-48c0-ba41-e2aeb63153e6
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Date deposited: 24 Oct 2024 16:48
Last modified: 24 Oct 2024 16:48
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Contributors
Author:
P. Ezhilarasi
Author:
L. Ramesh
Author:
Xiufeng Liu
Author:
Jens Bo Holm-Nielsen
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