University of Wah

About: University of Wah is a education organization based out in Rawalpindi, Pakistan. It is known for research contribution in the topics: Per capita income & Rhizobacteria. The organization has 258 authors who have published 466 publications receiving 4719 citations.

Day Ahead Electric Load Forecasting by an Intelligent Hybrid Model Based on Deep Learning for Smart Grid

Abstract: Electrical load forecasting is a challenging problem due to random and non-linear behavior of the consumers. With the emergence of the smart grid (SG) and advanced metering infrastructure (AMI), people are capable to record, monitor, and analyze such a complicated non-linear behavior. Electric load forecasting models are indispensable in the decision making, planning, and contract evaluation of the power system. In this regard, various load forecasting models are proposed in the literature, which exhibit trade-off between forecast accuracy and execution time (convergence rate). In this article, a fast and accurate short-term load forecasting model is proposed. The abstractive features from the historical data are extracted using modified mutual information (MMI) technique. The factored conditional restricted boltzmann machine (FCRBM) is empowered via learning to predict the electric load. Eventually, the proposed genetic wind driven optimization (GWDO) algorithm is used to optimize the performance. The remarkable advantages of the proposed framework are the improved forecast accuracy and convergence rate. The forecast accuracy is improved through the use of MMI technique and FCRBM model. On the other side, convergence rate is enhanced by GWDO algorithm. Simulation results illustrate that the proposed fast and accurate model outperforms existing models i.e., Bi-level, MI-artificial neural network (MI-ANN), and accurate fast converging short-term load forecast (AFC-STLF) in terms of forecast accuracy and convergence rate.

Social and administrative issues related to the COVID-19 pandemic in Pakistan: better late than never.

Abstract: The study critically reviewed Pakistan's provincial updates of coronavirus disease 2019 (COVID-19) and discussed the current challenges faced by the government in a given context. The coronavirus-associated death tolls have been increasing rapidly in a country. The provincial status of confirmed cases of coronavirus is higher in Punjab, followed by the Sindh, Khyber Pakhtunkhwa (KPK), and Balochistan. The case fatality ratio shows that KPK has a higher ratio, i.e., 5.11%, followed by the Punjab, i.e., 1.82%; Sindh, i.e., 1.80%; Balochistan, i.e., 1.28%; Gilgit-Baltistan, i.e., 0.71%; and Federal territory, i.e., 0.66%. The country has a less testing capacity to identify more suspected coronavirus patients. The study calculated that if we increase five times our testing capacity from the current date, the total registered cases will be reached to 137,370 and death tolls will increase up to 3090. It is highly needed to increase testing capacity across Pakistan in order to minimize the outbreak of coronavirus. The provincial government should follow the Federal Government instructions to contain coronavirus by increasing testing capacities, tracing suspected patients, smart lockdowns, emergency relief to the poor, and vigilant monitoring system.

Performance of Ni/Al2O3-MgO catalyst for Dry Reforming of Methane: Effect of preparation routes

Abstract: Nickel based nano-catalysts, supported on bimetallic oxide support (i.e. Ni/Al2O3-MgO) were prepared by the co-precipitation (one step, Catalyst-A) and co-precipitation followed by impregnation (two steps, Catalyst-B) techniques separately. The catalysts were then tested for the dry reforming of methane (DRM) reaction. The effect of catalyst synthesis technique on their performance has been analysed. The Ni/Al2O3-MgO nano-catalyst prepared by co-precipitation followed by impregnation method (two steps) technique was found to be superior to the one synthesized by co-precipitation (one step) method. The elevated CO2 and CH4 conversions and stable H2/CO ratio have been observed throughout the DRM reaction at atmospheric pressure (i.e., 1atm), 800°C for Catalyst-B. Catalyst-B was better in terms of activity, conversion to syngas, stability, and reduced coke formation comparatively.

One-step phosphorylation of graphene oxide for the fabrication of nanocomposite membranes with enhanced proton conductivity for fuel cell applications

Abstract: In this work, graphene oxide (GO) was phosphorylated by a novel method and then incorporated into the chitosan (CS) matrix for the fabrication of nanocomposite membranes with enhanced proton conductivity for fuel cell applications. The 2D phosphorylated graphene oxide (PGO) offers efficient proton hopping sites (–PO3H−···+H3N-) that form continuous proton conducting channels at the CS/PGO interface. The CS/PGO nanocomposite membrane containing 2 wt% of PGO shows an optimum proton conductivity of 0.036 S cm−1, which is higher than that of commercial Nafion 117 membrane (0.033 S cm−1). In comparison with CS control membrane, CS/PGO nanocomposite membranes have higher thermal and mechanical stability because of the strong electrostatic and hydrogen bonding interactions between –NH2 of CS and –PO3H2 of GO. This study provides a new facile way to fabricate high-performance, low-cost and eco-friendly nanocomposite membranes for fuel cell applications.

Radiated chemical reaction impacts on natural convective MHD mass transfer flow induced by a vertical cone

Abstract: The consequence of thermal radiation in laminar natural convective hydromagnetic flow of viscous incompressible fluid past a vertical cone with mass transfer under the influence of chemical reaction with heat source/sink is presented here. The surface of the cone is focused to a variable wall temperature (VWT) and wall concentration (VWC). The fluid considered here is a gray absorbing and emitting, but non-scattering medium. The boundary layer dimensionless equations governing the flow are solved by an implicit finite-difference scheme of Crank–Nicolson which has speedy convergence and stable. This method converts the dimensionless equations into a system of tri-diagonal equations and which are then solved by using well known Thomas algorithm. Numerical solutions are obtained for momentum, temperature, concentration, local and average shear stress, heat and mass transfer rates for various values of parameters Pr, Sc, λ, Δ, Rd are established with graphical representations. We observed that the liquid velocity decreased for higher values of Prandtl and Schmidt numbers. The temperature is boost up for decreasing values of Schimdt and Prandtl numbers. The enhancement in radiative parameter gives more heat to liquid due to which temperature is enhanced significantly.