The article presents the results of a methodological study aimed at the development of an integrated, intelligent and expeditious system for the understanding, evaluation, and upgrading of energy efficiency in historical urban social housing neighbourhoods. The possibilities offered by GIS and ICT systems were explored for the analysis and planning of building and energy improvements. The purpose of the study was to provide a support tool for upgrade projects planned for social housing which would include the multiple variables necessary for an understanding of the transformation process which led to the current state of the buildings, and which would be able to provide alternatives and solutions for their regeneration. © 2012 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Gigliarelli, E., Carlea, D., Corcella, A., & Porfyriou, H. (2012). Historical social housing: Smart analysis and design for conservation and energy regeneration. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7616 LNCS, pp. 139–148). https://doi.org/10.1007/978-3-642-34234-9_14
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