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来自iFlex动态定价实验的每小时居民用电消耗数据和调查答案的丰富数据集。

A rich dataset of hourly residential electricity consumption data and survey answers from the iFlex dynamic pricing experiment.

作者信息

Hofmann Matthias, Siebenbrunner Turid

机构信息

Statnett SF, Nydalen allé 33, 0484 Oslo, Norway.

Department of Electric Power Engineering, NTNU, O. S. Bragstads plass 2E, 7034 Trondheim, Norway.

出版信息

Data Brief. 2023 Sep 15;50:109571. doi: 10.1016/j.dib.2023.109571. eCollection 2023 Oct.

Abstract

The iFlex field experiment was conducted to understand if and how households change their power consumption in response to variable hourly electricity prices. This experiment was conducted in several Norwegian regions, and various price signals were tested over two winter periods from early 2020 to spring 2021. The resulting dataset includes hourly electricity consumption data of all participating households and answers to three surveys about household characteristics such as electric appliances, living conditions, socio-demographic variables, and their willingness to be flexible. In addition, temperature data are added to the dataset from public sources. This rich dataset can be used to analyse households' demand flexibility potential in-depth. Furthermore, subgroups, such as low-income households or highly electrified households with electricity as a primary heating source, can be investigated to enhance the understanding of how these are affected by variable power prices.

摘要

开展iFlex实地试验是为了了解家庭是否以及如何根据每小时变化的电价来改变其电力消耗。该试验在挪威的几个地区进行,在2020年初至2021年春季的两个冬季期间测试了各种价格信号。所得数据集包括所有参与家庭的每小时电力消耗数据,以及针对有关家用电器、生活条件、社会人口变量等家庭特征及其灵活性意愿的三项调查的回答。此外,还从公共来源将温度数据添加到数据集中。这个丰富的数据集可用于深入分析家庭的需求灵活性潜力。此外,可以对低收入家庭或以电力作为主要供暖来源的高电气化家庭等子群体进行调查,以加深对这些群体如何受到可变电价影响的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c337/10539631/c66d591a4aa7/gr1.jpg

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