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Fayaz Hussain

Researcher at Ton Duc Thang University

Publications -  6
Citations -  480

Fayaz Hussain is an academic researcher from Ton Duc Thang University. The author has contributed to research in topics: Renewable energy & Smart grid. The author has an hindex of 4, co-authored 6 publications receiving 157 citations. Previous affiliations of Fayaz Hussain include University of Malaya.

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Journal ArticleDOI

Towards Sustainable Energy: A Systematic Review of Renewable Energy Sources, Technologies, and Public Opinions

TL;DR: The results of this study show that worldwide energy crises can be managed by integrating renewable energy sources in the power generation and the lack of public awareness is a major barrier to the acceptance of renewable energy technologies.
Book ChapterDOI

Energy storage technologies

TL;DR: The purpose of energy storage is to capture energy and effectively deliver it for future use as mentioned in this paper, which offers several significant benefits: improved stability of power quality, reliability of power supply, etc.
Journal ArticleDOI

Analyzing the Public Opinion as a Guide for Renewable-Energy Status in Malaysia: A Case Study

TL;DR: In this paper, the authors proposed a model to investigate the mediating role of awareness in the intention to accept renewable energy sources (RES) and an integrated MCDM method is applied based on the entropy TOPSIS to select the optimum RES alternative.
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Solution Processed PVB/Mica Flake Coatings for the Encapsulation of Organic Solar Cells

TL;DR: In this article, a solution-based effective barrier coatings based on composite of polyvinyl butyral (PVB) and mica flakes for the protection of poly (3hexylthiophene) (P3HT)-based organic solar cells (OSCs) against photobleaching under illumination conditions.
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A New Hybrid LGPMBWM-PIV Method for Automotive Material Selection

TL;DR: Results of the study reveal that among all considered natural fibers, Ramie fiber is the most suitable alternative for the fabrication of composites and coir Fiber is the worst candidate for the same.