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The invention aims to create an energy use model for a chiller in heating, ventilation, and air conditioning system using the artificial neural network learning method. Input layers that included several input variables, quantity (percentage) of training data and number of neurons were measured for accuracy by the suggested chiller energy consumption model. A standard reference structure was also designed to provide operating data for the chiller system during long refrigeration periods (warm weather months).</text>
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              <text>&lt;a href="https://drive.google.com/file/d/1zf8ZtlQab8OX7Hnh30-n7HQCxD_h7frB/view" target="_blank" title="Electrochemical synthesis of ribonolactone-A precursor for anti-covid drug remdesivir /" rel="noreferrer noopener"&gt;https://drive.google.com/file/d/1zf8ZtlQab8OX7Hnh30-n7HQCxD_h7frB/view&lt;/a&gt;</text>
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