UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 6
June-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2206654


Registration ID:
404734

Page Number

g449-g474

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Title

BIG DATA BASED POWER SYSTEM

Abstract

In the current system of electricity, underground cable systems have a lot of advantages over overhead cables which is why it is more preferred nowadays. Recently plans have been made to replace overhead electrical cables with underground cables in the next decade or so. While fault occurrence in the underground cable is rare, it is also very hard to detect. In the past, there have been many research papers suggesting the use of various methods like the Murray loop test, Varley loop test or implementation of ohm’s law to find the short circuit fault but they have many confinements associated with them. This is where we aim to minimize the confinements and enhance the already existing projects for better performance. Also, we aim to locate the open circuit fault for the three-phase system which is IOT based that has not been previously done. Our objective is to design an electrical power system which will save electricity by minimizing the excessive power load in-between the transformers and also if the power consumed is less than the average load in a particular transformer, then the remaining load is supplied to the other transformers. Our design also helps in alerting people from electrical danger in the pavement using BIG DATA.

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"BIG DATA BASED POWER SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.g449-g474, June-2022, Available :http://www.jetir.org/papers/JETIR2206654.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"BIG DATA BASED POWER SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppg449-g474, June-2022, Available at : http://www.jetir.org/papers/JETIR2206654.pdf

Publication Details

Published Paper ID: JETIR2206654
Registration ID: 404734
Published In: Volume 9 | Issue 6 | Year June-2022
DOI (Digital Object Identifier):
Page No: g449-g474
Country: Chennai, Tamilnadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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