A synthetic dataset of French electric load curves with temperature conditioning
Authors/Creators
Description
The dataset contains 10 000 synthetic time series representing 30-minute individual electric consumptions for one year.
The samples are generated by training a deep learning model (Latent Diffusion) conditionnally on local outdoor temperature, contracted power (6kVA, 9kVA or 12kVA) and time-of-use plan.
The dataset captures the correlation between cold temperature and electric consumption that can be found in certain countries, e.g. in France.
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EDF R&D & Enedis teams
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Additional details
Related works
- Cites
- Publication: arXiv:2504.14046 (arXiv)
References
- Nabil T., Agoua G., Cauchois P., De Moliner A., Grossin B., 2025. A synthetic dataset of French electric load curves with temperature conditioning. ICLR 2025 Workshop on Tackling Climate Change with Machine Learning. URL https://www.climatechange.ai/papers/iclr2025/27.