Paper Title
Recent Advancement in Smart Grid Technology : Future Prospects in the Electrical Power Network
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Registration ID: IJNRD_216620
Published ID: IJNRD2403546
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Keywords
Big Data, Cloud Computing, Data Mining, Fog, Load Forecasting, IoT, Smart Grid
Abstract
The smart electrical grid (SEG) is regarded as an advanced digital two-way power in flow power system since it uses information to create a widely dispersed automated energy delivery network. SEG is capable of repairing, adapting, flexible, and sustainable under many circumstances, with the foresight to prevent ratiocination. SEG is therefore regarded as the next generation power grid. This study provides a thorough analysis of SEG as a novel technology and operational models that may impact distribution network performance in the future. The majority of the introductory generalizations are applied to comparable emerging technologies, such as fog, cloud computing, big data analysis, and the Internet of Things (IoT). An introduction to IoT technology is given. It will examine the architectural layout of a typical Internet of Things (IoT) palm computing system as well as various system scenarios. Similar to this, a variety of bracket designs and the electrical cargo soothsaying (ELF) technique, which combines the pre-processing and vaticinator phases, have been used. Additionally, several approaches to managing large amounts of data produced by operation processing measures and detectors are examined. In order to slant the data, pre-processing techniques like point selection and outlier rejection are used. The cargo vaticinator procedure is also described. In the end, this research analyses the cargo vaticinator phase of the ELF strategy, reviewing the various vaticinator methods.
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How To Cite (APA)
Sreekala P & Sreeji K B (March-2024). Recent Advancement in Smart Grid Technology : Future Prospects in the Electrical Power Network. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(3), f405-f410. https://ijnrd.org/papers/IJNRD2403546.pdf
Issue
Volume 9 Issue 3, March-2024
Pages : f405-f410
Other Publication Details
Paper Reg. ID: IJNRD_216620
Published Paper Id: IJNRD2403546
Research Area: Computer EngineeringÂ
Author Type: Indian Author
Country: Thrissur, Kerala, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2403546.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403546
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