Using Machine Learning to Enrich Building Databases—Methods for Tailored Energy Retrofits

Using Machine Learning to Enrich Building Databases—Methods for Tailored Energy Retrofits

Building databases are important assets when estimating and planning for national energy savings from energy retrofitting. However, databases often lack information on building characteristics needed to determine the feasibility of specific energy conservation measures. In this paper, machine learni...

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Bibliographic Details
Main Authors: Jenny von Platten, Claes Sandels, Kajsa Jörgensson, Viktor Karlsson, Mikael Mangold, Kristina Mjörnell
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Energies
Subjects:
building database enrichment
machine learning
artificial intelligence
Google Street View
energy performance certificate
support vector machine
Online Access:https://www.mdpi.com/1996-1073/13/10/2574

Internet

https://www.mdpi.com/1996-1073/13/10/2574

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