Datasets Published in Repositories

The dataset contains hourly time series of electricity consumption (kWh) provided by the Spanish electricity retailer GoiEner. The time series are arranged in four compressed files:

• raw.tzst, contains raw time series of all GoiEner clients (any date, any length, may have missing samples).
• imp-pre.tzst, contains processed time series (imputation of missing samples), longer than one year, collected before March 1, 2020.
• imp-in.tzst, contains processed time series (imputation of missing samples), longer than one year, collected between March 1, 2020 and May 30, 2021.
• imp-post.tzst, contains processed time series (imputation of missing samples), longer than one year, collected after May 30, 2020.
• metadata.csv, contains relevant information for each time series.

License: CC-BY-SA

User behaviour is a complex issue, as it is influenced by a multitude of factors from economic status, age, education, political environment etc. The WHY project aims to identify the possible user reactions and their effect on the energy consumption due to external stimuli. In context of the WHY project these external stimuli are called “interventions”. In this chapter different approaches for policy driven interventions are discussed and presented. 

This dataset contains the results of a survey carried out by the Spanish electricity retailer GoiEner to assess the impact that a change of from a "flat rate" tariff towards a "time of use" tariff have. Two files are provided:

•     The results of the survey merged with a summary of the energy consumption of the clients before and after the change of tariff.
•     The questions of the survey.

License: CC-BY-SA