MODERATE Training dataset for synthetic load profile generator
FAIR Overall Score
Abstract
Source: Fluvius Open Data portal Original dataset: Fluvius 2,400 digital meter profiles Description: This dataset contains 15-minute smart meter electricity readings from 2,400 anonymised residential customers connected to the Fluvius distribution network in Flanders, Belgium, covering a full calendar year. Each profile is labelled according to the presence of distributed energy technologies: photovoltaic (PV) systems, electric vehicles (EV), heat pumps (HP), or none of these. For this project, the dataset was resampled to hourly resolution and a subset of 1,300 profiles was selected, resulting in a matrix of 1,300 columns × 8,760 hourly values representing electricity consumption per building. Labels for each profile are provided in a separate indicator file. Use: The dataset was used as the basis for synthetic load profile generation within the MODERATE project.
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FAIR Overall Score: 73%
| Principle | Score | Earned | Level |
|---|---|---|---|
| Findable | 57% | 4 of 7 | moderate |
| Accessible | 100% | 7 of 7 | advanced |
| Interoperable | 67% | 4 of 6 | moderate |
| Reusable | 67% | 4 of 6 | moderate |
Evaluated by F-UJI web service: Anusuriya Devaraju, & Robert Huber. (2020). F-UJI - An Automated FAIR Data Assessment Tool. Zenodo. https://doi.org/10.5281/zenodo.6361400
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