Data stream mining techniques for real-time monitoring and control of smart power grids in Kenya: challenges and opportunities

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Publication Details

Journal
Discover Internet of Things
Published
2025-05-02
DOI
https://doi.org/10.1007/s43926-025-00146-0
Citations
3
Primary Topic
Data Stream Mining Techniques
Type
article
Field-Weighted Citation Impact
7.44
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article

Data stream mining techniques for real-time monitoring and control of smart power grids in Kenya: challenges and opportunities

George Okeyo, Joseph Muliaro Wafula, Cornelius Mutuku Mulevu
3 citations
Discover Internet of Things
Data Stream Mining Techniques
7.44
article

Data stream mining techniques for real-time monitoring and control of smart power grids in Kenya: challenges and opportunities

George Okeyo, Joseph Muliaro Wafula, Cornelius Mutuku Mulevu
article en
3 citations

Abstract

No abstract available for this paper.
Discover Internet of ThingsVol. 5(1)
Jomo Kenyatta University of Agriculture and Technology (KE), Karen Hospital (KE), Carnegie Mellon University Africa (RW)
Openalex Percentile: Top 3%
Data Stream Mining Techniques
7.44
DOIOpen Access PDFOpenAlex
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Data stream mining techniques for real-time monitoring and control of smart power grids in Kenya: challenges and opportunities — George Okeyo, Joseph Muliaro Wafula, et al. · Discover Internet of Things (2025) | TGRS Research Map | TGRS