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- W4384702698 abstract "This paper discusses the importance of Big Data processing and analysis at the edge of the electric power grid due to the increasing integration of renewable energy sources, electric vehicles, and new loads that enable a greener transition. The volume, velocity, and variety of data generated by the electric power system (EPS) is rapidly increasing and real-time processing and analysis is necessary to improve system efficiency, reliability, and security. This paper presents an advanced edge cloud computing framework that addresses quality of service challenges and tackles some of the Big Data challenges. The framework enables various instantiation scenarios and consists of open-source tools for managing and automating the EdgeCloud infrastructure. A case study of a 50 kWp photovoltaic power plant is used to demonstrate the effectiveness of the framework in processing and analyzing data at the edge. Three different analytic tools are presented that address real-time and batch processing at the edge to offload data processing and data availability from the cloud to the edge. The paper concludes that edge computing plays a critical role in modernizing EPS and paving the way for a more sustainable and resilient energy future." @default.
- W4384702698 created "2023-07-20" @default.
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- W4384702698 date "2023-06-27" @default.
- W4384702698 modified "2023-09-26" @default.
- W4384702698 title "Advanced Analytics at the Edge" @default.
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- W4384702698 doi "https://doi.org/10.1109/iwssip58668.2023.10180252" @default.
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