Published January 30, 2023
| Version CC BY-NC-ND 4.0
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Overview of Big Data Analytics Technologies in Smart Grid
Authors/Creators
- 1. Department of Electrical and Electronics Engineering, MS Ramaiah Institute of Technology, Bangalore (Karnataka), India.
Contributors
Contact person:
- 1. Department of Electrical and Electronics Engineering, MS Ramaiah Institute of Technology, Bangalore (Karnataka), India.
Description
Abstract: Smart grids have become an essential component of modern society due to their interconnected nature. In the smart grid, unprecedented amounts of data will be created continuously due to the advanced sensor infrastructure. Therefore, analyzing smart grid data is becoming increasingly critical to delivering electricity and managing consumption in the business and physical sectors. Modernizing the grid requires data science, despite the challenges of integrating data analytics into the enterprise. A review of big data management & analysis in the smart grid is presented in this paper. Data analytics and its role in big data management are discussed in this paper along with the challenges of implementing those analytics, and how they can help achieve clean, reliable, and efficient grids. The paper supports Apache Flink due to native streaming for use cases that call for minimal latency, while Apache Spark is better suited for batch data processing.
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Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)
© Copyright: All rights reserved.
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- Journal article: 2277-3878 (ISSN)
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Subjects
- ISSN: 2277-3878 (Online)
- https://portal.issn.org/resource/ISSN/2277-3878
- Retrieval Number: 100.1/ijrte.E73880111523
- https://www.ijrte.org/portfolio-item/e73880111523/
- Journal Website
- https://www.ijrte.org/
- Publisher: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)
- https://www.blueeyesintelligence.org/