Synthetic Electric Vehicle Charging Session Generation Using a Conditional Variational Autoencoder

arXiv:2609.17808 · eess.SY, cs.LG, cs.SY · Submitted 2026-09-15 · Read on arXiv

eess.SY, cs.LG, cs.SY

Submitted: 2026-09-15

Updated: 2026-09-15

Comments: 5 pages, 4 figures, 4 tables. Accepted at IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE) 2026

Code: https://github.com/ucc-future-grid-lab/ev-cvae

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Fidelity — 4× in this paper · explained in 2 episodes
Gaussian Negative Log-Likelihood — 3× in this paper
Generative Model — 3× in this paper · explained in 2 episodes
Latent Representation — 3× in this paper · explained in 2 episodes
Latent Space — 3× in this paper · explained in 7 episodes
Generative Adversarial Network — 2× in this paper
Synthetic Data Generation — 2× in this paper · explained in 5 episodes
Wasserstein Distance — 2× in this paper · explained in 4 episodes
Adam — 1× in this paper · explained in 2 episodes
Clustering — 1× in this paper · explained in 2 episodes
Copula — 1× in this paper · explained in 2 episodes
Generative Models — 1× in this paper · explained in 3 episodes
Kullback-Leibler (KL) Divergence — 1× in this paper · explained in 3 episodes
Mode Collapse — 1× in this paper · explained in 2 episodes
Random Forest — 1× in this paper
Temporal Correlations — 1× in this paper · explained in 2 episodes
Variational Bayes — 1× in this paper · explained in 2 episodes

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