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Sahibzada Muhammad Ali

Researcher at COMSATS Institute of Information Technology

Publications -  94
Citations -  1225

Sahibzada Muhammad Ali is an academic researcher from COMSATS Institute of Information Technology. The author has contributed to research in topics: Smart grid & Renewable energy. The author has an hindex of 13, co-authored 91 publications receiving 737 citations. Previous affiliations of Sahibzada Muhammad Ali include North Dakota State University.

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A survey on electric vehicle transportation within smart grid system

TL;DR: In this paper, the authors explored the transportation electrification (TE) sector and its impact on economy, reliability and eco-friendly system, and presented a detailed overview of the on board and off board charging infrastructure and communication necessities for EV.
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A survey on consumers empowerment, communication technologies, and renewable generation penetration within Smart Grid

TL;DR: In this paper, a comprehensive review exploring information of development, technologies, and techniques in the smart grid is presented, where the main goal is to investigate and reveal the key enabling technologies, to obtain better picture about the current status of smart grid development.
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Biogas potential for electric power generation in Pakistan: A survey

TL;DR: In this article, the potential of biogas is reviewed to meet the energy requirement of Pakistan, and the installation cost of a Biogas plant is not only economical but also beneficial in reducing respiratory and eye infections.
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A survey on waste heat recovery: Electric power generation and potential prospects within Pakistan

TL;DR: In this paper, the potential application of TEG in various applications are comprehensively discussed and described, and a detailed description to Pakistan energy status and waste heat recovery potential especially in Cement Industry is assessed in this survey.
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A Robust Optimization Technique for Energy Cost Minimization of Cloud Data Centers

TL;DR: A smart power management system based on a robust energy cost optimization algorithm and a model to calculate prices to be used in service level agreements with data centers’ clients for on-demand cloud services is designed considering operational cost of the data center.