Case-based Reasoning and Text Mining for Green Building Decision Making

Xue Xiao*, Martin Skitmore, Xin Hu

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

15 Citations (Scopus)
103 Downloads (Pure)


There are great benefits to be obtained by sharing previous experiences in meeting the needs of the standard evaluation systems for green building around the world. To date, there are no existing methods available that enable this to take place in a systematic way. This paper addresses the issue by developing a green building experience-mining (GBEM) model that enables previous green building solutions to be adapted for a new situation. A database of 10 cases is used to demonstrate and evaluate the effectiveness of the GBEM model. The results confirm the model's potential to facilitate users in the selection of the solutions when addressing new green building challenges.

Original languageEnglish
Pages (from-to)417-425
Number of pages9
JournalEnergy Procedia
Publication statusPublished - 1 Mar 2017
Externally publishedYes
Event8th International Conference on Sustainability in Energy and Buildings, SEB 2016 - Turin, Italy
Duration: 11 Sept 201613 Sept 2016


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