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 learning methods …

Year: 2020 Authors: von Platten, Jenny / Sandels, Claes / Jörgensson, Kajsa / Karlsson, Viktor / Mangold, Mikael / Mjörnell, Kristina Source: Energies 2020, 13, 2574. Type: Topic: , , , , , Region: Language:
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Algorithm for the comprehensive thermal retrofit of housing stock aided by renewable energy supply: A sustainable case for Krakow

This paper proposes an approach to the comprehensive adaptation of prefabricated panel-block buildings, many of which were built before 1989, to climate change and the requirements of people with special needs while alleviating Modernist planning deficiencies. The proposal targets panel-block …

Year: 2023 Authors: Barnaś, Krzysztof / Jeleński, Tomasz / Nowak-Ocłoń, Marzena / Racoń-Leja, Kinga / Radziszewska-Zielina, Elżbieta / Szewczyk, Bartłomiej / Śladowski, Grzegorz / Toś, Cezary / Petar Sabev, Varbanov Source: Energy Volume 263, Part D, 15 January 2023, 125774, 263. Type: , Topic: , , , , , Region: Language:
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