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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Recent Advancement in Smart Grid Technology : Future Prospects in the Electrical Power Network |
| Authors Name: | Sreekala P , Sreeji K B |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_216620
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| Published Paper Id: | IJNRD2403546 |
| Published In: | Volume 9 Issue 3, March-2024 |
| DOI: | |
| 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. |
| Keywords: | Big Data, Cloud Computing, Data Mining, Fog, Load Forecasting, IoT, Smart Grid |
| Cite Article: | "Recent Advancement in Smart Grid Technology : Future Prospects in the Electrical Power Network", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 3, page no.f405-f410, March-2024, Available :http://www.ijnrd.org/papers/IJNRD2403546.pdf |
| Downloads: | 00045 |
| 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 |
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Published Paper ID:IJNRD2403546 Registration ID: 216620 Published In: Volume 9 Issue 3, March-2024 DOI (Digital Object Identifier): Page No: f405-f410 Country: Thrissur, Kerala, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2403546 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2403546 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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