Published May 2, 2023 | Version v3

Norwegian hourly residential electricity demand data with consumer characteristics during the European energy crisis

  • 1. Statnett, NTNU
  • 2. SINTEF

Description

This dataset was collected to understand how Norwegian households responded to the electricity price shock due to the European energy crisis. It consists of consumer characteristics and their self-reported responses to the extraordinarily high electricity prices which were collected by a survey of 4,446 consumers. The consumer characteristics contain information about socio-demographics such as income, age, education, number of residents, residence type, residence size, and how conscious the respondents are about their electricity consumption. Furthermore, major electricity-consuming appliances are identified, such as whether the residents have an electric vehicle and how they heat their homes, and if they have a variable electricity tariff. In addition,  hourly metered electricity consumption data covering  October 2020 to March 2022 from a subset of 1,136 residential consumers of the surveyed households and the total hourly residential electricity consumption per Norwegian bidding area from July 2019 to July 2022as well as the hourly day-ahead electricity prices are included in the dataset. These data are interesting to researchers that aim to gain insight into the electricity consumption behaviour of the residential sector and the impact of different socio-demographic variables.

A detailed description is available as a data article in Data in Brief: Norwegian hourly residential electricity demand data with consumer characteristics during the European energy crisis - ScienceDirect

Supplementary figures containing the survey results are available here: Supplementary result diagrams from household surveys on implicit demand response (zenodo.org)

Survey answers in Norwegian are available here: iFleks-prosjekt: Spørreundersøkelser med husholdninger og næringsliv om forbruksrespons på elektrisitetspriser

Files

answers.csv

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Additional details

Related works

Is documented by
Data paper: 10.1016/j.dib.2023.109687 (DOI)
Is referenced by
Journal article: 10.1016/j.segy.2023.100126 (DOI)
Is supplemented by
Figure: 10.5281/zenodo.11580541 (DOI)
Other: 10.5281/zenodo.15063303 (DOI)