Dataset from the EXPESIGNO study

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Provided by Observatoire de la Transition Energétique

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Dataset information

Country of origin
Updated
2025.12.04 11:41
Created
2024.11.20
Available languages
English
Keywords
behivioral-economics, engineering, electricity-consumption
Quality scoring

Dataset description

The main objective of the EXPESIGNO project is to study the electricity consumption behaviour of households when they are confronted with erasure and/or postponement signals. These households participated in an experimental public policy study implemented to manage peaks in evening consumption (between 18:00 and 20:00 in winter) and/or peaks in solar energy production (between 12:00 and 15:00 in summer). Two groups of outbreaks were set up, one serving as a ‘control’ group and the other representing the ‘treated’ group, that is to say, receiving the erasure or consumption ‘alerts’. Electricity consumption was monitored via consumption records from Linky meters with the agreement of the households. The dataset currently contains data from: * The slides presenting the study to the subjects of the two treatments: Control Group (GC) and Treaty Group (WG) * An upcoming scientific paper presenting the study and key findings * The complete design of the study * Presentation of the conduct of an engagement session (WG) * Tables of possible commitments, for periods of peak consumption and periods of large photovoltaic production * A csv file with electricity consumption per 30 min for the 174 households, from 18/07/2019 to 28/09/2021 * A csv file with green and orange alert dates * A csv file with the electrical equipment held and its uses at the beginning of the study by the households * A csv file with the initial commitments for the 174 households by type of orange and green periods * A csv file with socio-demographic characteristics for the 174 households * A set of xlsx files presenting the variable dictionary This dataset covers the period from July 2019 to September 2021.
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190K+
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32
countries and EU institutions
2019
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SLA
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