Paper Title
Artificial Intelligence Based Phase Balancing in the Smart Grid
Article Identifiers
Authors
Nishanthini R
Keywords
AI, Phase Balancing, Artificial Intelligence
Abstract
The integration of advanced metering infrastructure, control technologies, and communication technologies within the smart grid facilitates the collection of vast volumes of high-dimensional and multi-type data concerning electric power grid operations. Nonetheless, traditional modeling, optimization, and control methods encounter numerous limitations in handling such data effectively. As a result, the utilization of artificial intelligence (AI) techniques within the smart grid is gaining prominence. This survey systematically reviews existing research on various AI techniques applied to load forecasting, power grid stability assessment, fault detection, and security issues within the smart grid and power systems. Furthermore, it identifies ongoing research challenges in implementing AI technologies to achieve truly intelligent grid systems. Finally, this survey highlights the potential applications of AI in addressing smart grid challenges. Ultimately, the paper concludes that integrating AI techniques can significantly enhance the reliability and resilience of smart grid systems.
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How To Cite
"Artificial Intelligence Based Phase Balancing in the Smart Grid", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 8, page no.b710-b750, August-2024, Available :https://ijnrd.org/papers/IJNRD2408166.pdf
Issue
Volume 9 Issue 8, August-2024
Pages : b710-b750
Other Publication Details
Paper Reg. ID: IJNRD_226509
Published Paper Id: IJNRD2408166
Downloads: 000121125
Research Area: Engineering
Country: Thalaivasal, Tamil Nadu, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2408166.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2408166
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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