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    Application of Artificial Intelligence Techniques in Prediction of Energetic Performance of a Hybrid System Consisting of an Earth-Air Heat Exchanger and a Building-Integrated Photovoltaic/Thermal System 

    Source: Journal of Solar Energy Engineering:;2021:;volume( 143 ):;issue: 005:;page 051002-1
    Author(s): Shahsavar, Amin; Bagherzadeh, Seyed Amin; Afrand, Masoud
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this study, an attempt is made to assess the feasibility of several machine learning techniques for forecasting the energetic performance of a hybrid renewable energy unit consisting of an earth-air heat exchanger (EAX) ...
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    Forecasting and Optimization of the Viscosity of Nano-oil Containing Zinc Oxide Nanoparticles Using the Response Surface Method and Sensitivity Analysis 

    Source: Journal of Energy Resources Technology:;2020:;volume( 142 ):;issue: 011:;page 0113004-1
    Author(s): Zheng, Yuanzhou; Wang, Shuaiqi; D’Orazio, Annunziata; Karimipour, Arash; Afrand, Masoud
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In the current paper, the behavior of zinc oxide/SAE50 nano lubricant as a part of the new generation of coolants and lubricants is examined using response surface method (RSM). The data used in this study were viscosity ...
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