A synthetic dataset of French electric load curves with temperature conditioning

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.