A
Ashfaq Ahmad
Researcher at COMSATS Institute of Information Technology
Publications - 109
Citations - 2666
Ashfaq Ahmad is an academic researcher from COMSATS Institute of Information Technology. The author has contributed to research in topics: Routing protocol & Wireless sensor network. The author has an hindex of 25, co-authored 96 publications receiving 1984 citations. Previous affiliations of Ashfaq Ahmad include University of Newcastle & Dalhousie University.
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Journal ArticleDOI
Exploiting heuristic algorithms to efficiently utilize energy management controllers with renewable energy sources
Sahar Rahim,Nadeem Javaid,Ashfaq Ahmad,Shahid A. Khan,Zahoor Ali Khan,Nabil Alrajeh,Umar Qasim +6 more
TL;DR: A generic architecture for demand side management (DSM) which integrates residential area domain with smart area domain via wide area network and performs more efficiently than BPSO based energy management controller and ACO basedEnergy management controller in terms of electricity bill reduction, peak to average ratio minimization and user comfort level maximization.
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Greener synthesis of zinc oxide nanoparticles using Trianthema portulacastrum extract and evaluation of its photocatalytic and biological applications.
Zia Ul Haq Khan,Zia Ul Haq Khan,Hafiz Masood Sadiq,Noor S. Shah,Arif Ullah Khan,Nawshad Muhammad,Sadaf ul Hassan,Kamran Tahir,Sher Zaman Safi,Faheem Ullah Khan,Muhammad Imran,Naveed Ahmad,Faizan Ullah,Ashfaq Ahmad,Murtaza Sayed,Muhammad Khalid,Saeed Ahmad Qaisrani,Mazhar Ali,Ali Zakir +18 more
TL;DR: The results concluded that the ZnO-NPs synthesized by green method have high biological and photocatalytic applications.
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iM-SIMPLE
TL;DR: Simulation results confirm the performance advantage of iM-SIMPLE compared to contemporary schemes in terms of maximizing stability period and throughput of the network.
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An Accurate and Fast Converging Short-Term Load Forecasting Model for Industrial Applications in a Smart Grid
TL;DR: An accurate and fast converging STLF model for industrial applications in a smart grid is presented and modifications are devised in two popular techniques: mutual information based feature selection and enhanced differential evolution algorithm based error minimization.
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An Efficient Power Scheduling Scheme for Residential Load Management in Smart Homes
TL;DR: The simulations show that the proposed algorithms provide with the best optimal results with a fast convergence rate, as compared to the existing techniques.