TitlePredicting Heating Energy Demand by Computer Vision
Publication TypeJournal Article
Year of Publication2017
AuthorsDespotivic, M., M. Sakeena, D. Koch, M. Döller, and M. Zeppelzauer
JournalComputer Science - Research and Development
Date Published09/2017
KeywordsClassification, CNNs, Convolutional Neural Networks, Deep Learning, Image Analysis, pattern recognition, Project ImmoAge, Real Estate Image Analysis
AbstractIn many countries such as Austria the heating energy demand (HED) is an essential parameter of the energy certification of houses. In this paper, we present an approach in which the HED category for a single family house is---for the first time---determined from a standard photograph directly by means of computer vision and machine learning.
Refereed DesignationRefereed