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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
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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