A rich dataset of hourly residential electricity consumption data and survey answers from the iFlex dynamic pricing experiment
Peer reviewed, Journal article
Published version
Permanent lenke
https://hdl.handle.net/11250/3111816Utgivelsesdato
2023Metadata
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- Institutt for elkraftteknikk [2474]
- Publikasjoner fra CRIStin - NTNU [38294]
Originalversjon
10.1016/j.dib.2023.109571Sammendrag
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.