Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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)
The importance of data management in smart grids and provides an extensive overview of data compression. It explores various data compression techniques, including both lossless and lossy methods, and highlights their relevance and applications within smart grid systems. The chapter also delves into signal processing techniques that enhance data compression efficiency, focusing on threshold optimization and intelligent techniques. Additionally, it reviews existing literature on data compression for smart grid applications. Finally, the chapter addresses the research gap in data compression, emphasizing areas where further exploration is needed to optimize smart grid performance and data management.
Keywords:
Data management, Modern Database
Cite Article:
"A Study on Traditional and Modern Database Management Systems", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.c319-c325, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604312.pdf
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000205514
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator