Result: Smart Meter Synthetic Data Generator development in python using FBProphet

Title:
Smart Meter Synthetic Data Generator development in python using FBProphet
Authors:
Ezhilarasi, P., Ramesh, L., Liu, Xiufeng, Holm-Nielsen, Jens Bo
Source:
Ezhilarasi , P , Ramesh , L , Liu , X & Holm-Nielsen , J B 2023 , ' Smart Meter Synthetic Data Generator development in python using FBProphet ' , Software Impacts , vol. 15 , 100468 .
Publisher Information:
2023
Document Type:
Electronic Resource Electronic Resource
Index Terms:
Smart meter, Data generator, Time-series, Synthetic data, dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy; name=SDG 7 - Affordable and Clean Energy, article
URL:
https://orbit.dtu.dk/en/publications/25ff12f2-5b09-42d3-abce-2716a42418ab
https://doi.org/10.1016/j.simpa.2023.100468
https://backend.orbit.dtu.dk/ws/files/308144647/1_s2.0_S2665963823000052_main_1_.pdf
Availability:
Open access content. Open access content
info:eu-repo/semantics/openAccess
Note:
application/pdf
English
Other Numbers:
EDN oai:pure.atira.dk:publications/25ff12f2-5b09-42d3-abce-2716a42418ab
1372618010
Contributing Source:
TECHNICAL KNOWLEDGE CTR DENMARK
From OAIster®, provided by the OCLC Cooperative.
Accession Number:
edsoai.on1372618010
Database:
OAIster

Further Information

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.