Open Access Journal of Engineering Applications
e-ISSN 3105-7004  ·  HafizLab

On Distributed Generation

Saiful Sato Corresponding 0000-0001-7113-8546
Rajshahi University of Engineering & Technology
Mohammad Müller
Universiti Teknologi Malaysia
Deepak Li
University of Cape Town

Abstract

Conventional approaches to distributed generation often fail to meet the demanding requirements of modern river training works. A prototype was designed and tested, and its behaviour was interpreted through grey relational analysis. The proposed algorithm converged reliably within 8 iterations for every case that was tested. This work provides a foundation for further studies under more diverse operating conditions.
Keywords: distributed generationgrey relational analysisinduction motorcryptographynatural fibre composite

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