UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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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:
JETIR2206167


Registration ID:
403642

Page Number

b475-b479

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Title

ARTIFICIAL INTELLIGENCE IN POWERSTATION

Abstract

: Recently, there are concerns about the liberalization of electric power supply, deregulation, and the impact on the global environment, and ensuring a highly reliable electric power supply has become a major social need worldwide. To meet this need, we are conducting detailed research and development on power distribution systems and equipment monitoring. These are related to (1) "digital technology" based on the application of high-speed semiconductor devices, (2) intelligent substations applying IT (information technology), and (3) system configurations aimed at high-speed communication. It includes future intelligent control, protection, monitoring, and communication system requirements for substations, with advantages in terms of high performance, feature distribution, information exchange, and integrated distribution management. Today's traditional devices also require streamlined functionality, improved sensor technology, and a standardized interface. By facilitating these developments, the following savings can be expected across the system: (1) Reducing the cost of remote monitoring in the areas of device monitoring, operation, and maintenance. (2) Integrated device management. (3) Cost reduction by space saving by downsizing of equipment.

Key Words

Artificial Intelligence ,Digital technology, powerstation

Cite This Article

"ARTIFICIAL INTELLIGENCE IN POWERSTATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.b475-b479, June-2022, Available :http://www.jetir.org/papers/JETIR2206167.pdf

ISSN


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

"ARTIFICIAL INTELLIGENCE IN POWERSTATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppb475-b479, June-2022, Available at : http://www.jetir.org/papers/JETIR2206167.pdf

Publication Details

Published Paper ID: JETIR2206167
Registration ID: 403642
Published In: Volume 9 | Issue 6 | Year June-2022
DOI (Digital Object Identifier):
Page No: b475-b479
Country: palakkad, kerala, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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