Learning from experts: Energy efficiency in residential buildings

Monica Billio, Roberto Casarin, Michele Costola and Veronica Veggente

Energy Economics, 2024, vol. 136, issue C

Abstract: Reducing energy consumption is a key policy focus for mitigating climate change. This study investigates the determinants of residential building energy efficiency, leveraging expert insights from Energy Performance Certificates (EPCs) to develop a machine learning prediction framework. Datasets from countries at distinct latitudes, the UK and Italy, are analyzed to identify potential regional variations in the factors influencing energy efficiency. Findings reveal the crucial role of factors related to heating systems and insulation materials in the determination of the building’s efficiency. Also, there is evidence of the superior ability of non-linear machine learning models to capture complex relationships between building characteristics and efficiency. A scenario analysis further demonstrates the cost-effectiveness of policies informed by machine learning recommendations.

Keywords: Energy efficiency; Energy performance certificate; Machine learning; Tree-based models; Big data (search for similar items in EconPapers)
JEL-codes: C10 C50 C53 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S014098832400358X
Full text for ScienceDirect subscribers only

Related works:
Working Paper: Learning from experts: Energy efficiency in residential buildings (2023)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:136:y:2024:i:c:s014098832400358x

DOI: 10.1016/j.eneco.2024.107650

Access Statistics for this article

Energy Economics is currently edited by R. S. J. Tol, Beng Ang, Lance Bachmeier, Perry Sadorsky, Ugur Soytas and J. P. Weyant

More articles in Energy Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().