Zara, R B; Moro, G N; Martins, R d S V and Giglio, T G F (2025) Application of a decision tree approach to predict energy consumption in lightweight buildings under subtropical climate. Smart and Sustainable Built Environment, 14(7), pp. 2069-2089. ISSN 2046-6099
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | computer simulation; energy efficiency; housing; machine learning; wood frame |
| Index terms: | energy consumption, decision tree, wood, machine learning, computer simulation, energy efficiency, housing |
| Subjects: | decision analysis, energy systems, artificial intelligence, modelling and simulation, construction type, traditional and composite building materials, sustainability and energy |
| Topics: | Construction Materials, Risk Management, Construction Technology, Sustainability, Digital Applications |
| Descriptive scope: | 3 PCA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here