Clustering and Fuzzy Reasoning as Data Mining Methods for the Development of Retrofit Strategies for Building Stocks-Reference-Cited by-同舟云学术

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Clustering and Fuzzy Reasoning as Data Mining Methods for the Development of Retrofit Strategies for Building Stocks

Published:2017-06-30 Issue: Volume: Page:437-472
ISSN:
Container-title:Smart Cities
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Author:

Geyer Philipp¹,Schlueter Arno²

Affiliation:

1. Department of Architecture; Faculty of Engineering Science, Katholieke Universiteit Leuven; Belgium

2. Institute of Technology in Architecture; ETH Zurich; Switzerland

Publisher

John Wiley & Sons, Inc.

Reference51 articles.

1. Altering existing buildings in the UK;Roberts;Energy Policy,2008

2. IWU (Institut Wohnen und Umwelt) 2012 Typology Approach for Building Stock Energy Assessment www.building-typology.eu

3. Planning Support Systems and Smart Cities

4. Robinson , D. Haldi , F. Kämpf , J. Leroux , P. Perez , D. Rasheed , A. Wilke , U. 2009 CitySim. Comprehensive Micro-Simulation of Resource Flows for Sustainable Urban Planning

5. Reinhart , C. Dogan , T. Jakubiec , J.A. Rakha , T. Sang , A. 2013 Umi-an urban simulation environment for building energy use, daylighting and walkability

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