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Abdul Basit

Researcher at University of Engineering and Technology, Peshawar

Publications -  79
Citations -  991

Abdul Basit is an academic researcher from University of Engineering and Technology, Peshawar. The author has contributed to research in topics: Wind power & Electric power system. The author has an hindex of 13, co-authored 79 publications receiving 595 citations. Previous affiliations of Abdul Basit include Pakistan Institute of Engineering and Applied Sciences & University of Engineering and Technology, Lahore.

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Efficient and Autonomous Energy Management Techniques for the Future Smart Homes

TL;DR: An optimization problem under various practical constraints is formed, which is shown to be a mixed integer programming problem that can be solved through a step-wise approach and a novel scheme based on Dijkstra algorithm is proposed, which results in the similar performance to that of the proposed optimal scheme while exhibiting much lower complexity.
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A Review on Demand Response: Pricing, Optimization, and Appliance Scheduling

TL;DR: In this paper, the authors present a review of several demand response (DR) techniques with a specific view on pricing signals, optimization, appliance scheduling, and their benefits and a comprehensive performance comparison is also prepared with the help of multiple criteria of Smart Grid paradigm.
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Truncated human angiotensin converting enzyme 2; a potential inhibitor of SARS-CoV-2 spike glycoprotein and potent COVID-19 therapeutic agent.

TL;DR: This is the first MD simulation based findings to provide a high affinity protein inhibitor for SARS-CoV-2 S glycoprotein, an important target for drug designing against this unprecedented challenge.

6th International Conference on Ambient Systems, Networks and Technologies, ANT 2015 and the 5th International Conference on Sustainable Energy Information Technology, SEIT 2015 A Review on Demand Response: Pricing, Optimization, and Appliance Scheduling

TL;DR: A review of several DR techniques with a specific view on pricing signals, optimization, appliance scheduling used and their benefits is presented, and a comprehensive performance comparison is prepared with the help of multiple criteria of SG paradigm.
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A New Scheme for Demand Side Management in Future Smart Grid Networks

TL;DR: An autonomous energy scheduling scheme for household appliances in real-time to achieve minimum consumption cost and reduction in peak load is proposed and results confirm that the proposed algorithm significantly reduces the peak load and energy consumption cost.