Survey results

<p>This research was part of a PhD research named "Regularization methods that include experts&rsquo; domain knowledge for feature selection in a linear regression model" and research project "Methodological Framework For Efficient Energy Management By Intelligent Data Analytics" (Croatian Science Foundation project, IP-2016-06-8350).</p> <p>For the purpose of including experts' domain knowledge in a feature selection method proposed in PhD thesis, four experts were examined during April 2022.&nbsp; The experts were people with experience in energy efficiency and construction. They were asked to express their opinion on the influence of each input feature on the output feature.</p> <ul> <li>input features:&nbsp; 25 characteristics of buildings such as the use and purpose of the building, structural and energy characteristics, heating and cooling characteristics, geographical and other (input characteristics).</li> <li>output feature: annual energy cost of public sector buildings in the Republic of Croatia.</li> </ul> <p>The expert's opinion is represented by an ordinal scale with 4 possible categories: &nbsp;</p> <ul> <li>1 - No influence,&nbsp;</li> <li>2 - Weak influence,&nbsp;</li> <li>3 - Medium influence,&nbsp;</li> <li>4 - Strong influence.</li> </ul> <p>The repository consists of:</p> <ul> <li>Description_of_features.xlsx - table that contains names and descriptions of features used in the research.</li> <li>Survey_results.xslx - table that contains the results of experts' opinions on the influence of each input feature on the output feature.&nbsp;</li> </ul>