Poster abstract: predicting heating energy demand by computer vision

作者：Miroslav Despotović, Muntaha Sakeena, David Koch, Mario Döller, Matthias Zeppelzauer · 发表于：Computer Science - Research and Development · 年份：2017 · DOI：10.1007/s00450-017-0363-6 · 被引用次数：8 · 研究领域：Building Energy and Comfort Optimization、Video Surveillance and Tracking Methods、Advanced Vision and Imaging

In 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.