Mashhoodi, Bardia ORCID: https://orcid.org/0000-0002-7037-3932 and Bouman, Thijs ORCID: https://orcid.org/0000-0001-7940-892X (2024) Exploring energy geography: data insights on household consumption. Data in Brief, 53:110191. ISSN 2352-3409 (Online) (doi:10.1016/j.dib.2024.110191)

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Abstract

Household energy consumption (HEC) varies across neighbourhoods and gender groups. This database provides raw and analysed data on HEC determinants and their estimated influence on HEC in 2707 residential neighbourhoods (Wijk) in the Netherlands in 2018. The raw data consists of 17 indicators on energy demand, socioeconomic characteristics, microclimate and buildings. The indicators are retrieved from and calculated based on open national and international datasets. The analysed data presents the local coefficients of the HEC determinants, the outcome of the geographically weighted regression model (GWR) presented in the related article [1].

Item Type:	Article
Uncontrolled Keywords:	GIS, energy demand, energy geography, energy poverty, geographically weighted regression, spatial analysis
Subjects:	G Geography. Anthropology. Recreation > GE Environmental Sciences Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) Faculty of Engineering & Science
Last Modified:	17 Mar 2025 15:08
URI:	http://gala.gre.ac.uk/id/eprint/50028

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