ORCID Profile
0000-0001-9877-9590
Current Organisation
Huaiyin Institute of Technology
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Publisher: Trans Tech Publications, Ltd.
Date: 08-2012
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMR.562-564.60
Abstract: Outdoor electrical insulators form an important link in an electric power system. Along with the traditional insulators like glass and porcelain, presently the polymeric insulators are also used world widely. These polymeric insulating materials are very sensitive to various environmental parameters such temperature, raining, pollution, UV-radiations and icing etc. which seriously effect their electrical, chemical and hydrophobic properties. This paper shows a dynamic change of hydrophobicity on the surface of polymeric insulator under different environmental and contamination stresses. The hydrophobicity decrease of polymeric insulating surface due to rain and icing, hydrophobicity transfer status though different pollution layers and hydrophobicity recovery at different temperatures, humidity and wind speed are carried out in this paper. The hydrophobic characteristics are studied by measuring static contact angle on the surface on polymeric insulating material.
Publisher: Elsevier BV
Date: 06-2021
Publisher: Journal of Pure and Applied Microbiology
Date: 16-04-2020
Abstract: Despite the earlier two Coronavirus outbreaks, this appearance of the third Coronavirus outbreak has brought several complications and now emerged as a human-health related pandemic issue. The wide geographical spread and transmissibility of newly emerged novel-Coronavirus (2019-nCoV) and severity of coronavirus disease 2019 (COVID-19) raised serious concerns about the future trajectory of the 2019-nCoV/COVID-19 outbreak. Herein, we have briefly covered some important aspects of the 2019-nCoV/COVID-19 outbreak to highlight the need to learn lessons for a safer future. First, an epidemiological comparison of respiratory viral infections with particular reference to 2019-nCoV is given with relevant ex les. Following that, considering the earlier two Coronavirus outbreaks, the emergence of another new 2019-nCoV is given. Finally, the lesson learned, so far, and key concerns for pandemic impact assessment at large and COVID-19, in particular, are discussed for future considerations.
Publisher: MDPI AG
Date: 06-05-2020
DOI: 10.3390/SU12093778
Abstract: To sustain a clean environment by reducing fossil fuels-based energies and increasing the integration of renewable-based energy sources, i.e., wind and solar power, have become the national policy for many countries. The increasing demand for renewable energy sources, such as wind, has created interest in the economic and technical issues related to the integration into the power grids. Having an intermittent nature and wind generation forecasting is a crucial aspect of ensuring the optimum grid control and design in power plants. Accurate forecasting provides essential information to empower grid operators and system designers in generating an optimal wind power plant, and to balance the power supply and demand. In this paper, we present an extensive review of wind forecasting methods and the artificial neural network (ANN) prolific in this regard. The instrument used to measure wind assimilation is analyzed and discussed, accurately, in studies that were published from May 1st, 2014 to May 1st, 2018. The results of the review demonstrate the increased application of ANN into wind power generation forecasting. Considering the component limitation of other systems, the trend of deploying the ANN and its hybrid systems are more attractive than other in idual methods. The review further revealed that high forecasting accuracy could be achieved through proper handling and calibration of the wind-forecasting instrument and method.
No related grants have been discovered for Muhammad Shahzad Nazir.