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Synthetic Electric Vehicle Charging Session Generation Using a Conditional Variational Autoencoder
The increasing adoption of electric vehicles (EVs) is expected to place significant additional demand on residential distribution networks, creating a need for realistic charging datasets for planning and simulation studies. However, access to real-world EV charging data is often limited due to priv
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