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探索能源地理:家庭消费的数据洞察

Exploring energy geography: Data insights on household consumption.

作者信息

Mashhoodi Bardia, Bouman Thijs

机构信息

Landscape Architecture and Spatial Planning Group, Department of Environmental Sciences, Wageningen University & Research, P.O. box 47, 6700 AA Wageningen, the Netherlands.

Faculty of Behavioural and Social Sciences, University of Groningen, the Netherlands.

出版信息

Data Brief. 2024 Feb 21;53:110191. doi: 10.1016/j.dib.2024.110191. eCollection 2024 Apr.

DOI:10.1016/j.dib.2024.110191
PMID:38435732
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10907173/
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].

摘要

家庭能源消耗(HEC)因社区和性别群体而异。该数据库提供了关于HEC决定因素及其对2018年荷兰2707个居民区(wijk)HEC估计影响的原始数据和分析数据。原始数据包括17项关于能源需求、社会经济特征、微气候和建筑的指标。这些指标是从公开的国家和国际数据集中检索并基于其计算得出的。分析数据展示了HEC决定因素的局部系数,即相关文章[1]中提出的地理加权回归模型(GWR)的结果。

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引用本文的文献

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A comprehensive dataset integrating household energy consumption and weather conditions in a north-eastern Mexican urban city.一个整合了墨西哥东北部一个城市家庭能源消耗和天气状况的综合数据集。
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本文引用的文献

1
Spatializing household energy consumption in the Netherlands: Socioeconomic, urban morphology, microclimate, land surface temperature and vegetation data.荷兰家庭能源消耗的空间化:社会经济、城市形态、微气候、地表温度和植被数据。
Data Brief. 2020 Jan 10;29:105118. doi: 10.1016/j.dib.2020.105118. eCollection 2020 Apr.