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Author Archives: Ali Forootani

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Overcoming the Cold-Start Problem in EV Charging Forecasting

Journal articleBy Ali ForootaniJuly 10, 2026

Reliable smart charging requires forecasting the charging behavior of EVs. Deep learning algorithms could present a solution. However, deep neural networks (DNNs) require a large number of samples for training. Although there are available datasets for EV charging, such data is not available for newly committed EVs with limited historical charging records. Therefore, forecasting the…

Overcoming the Cold-Start Problem in EV Charging Forecasting

Journal articleBy Ali ForootaniJanuary 1, 2024

Overcoming the Cold-Start Problem in EV Charging Forecasting The rapid growth of electric vehicle (EV) adoption has been imposing pressure on distribution systems [1]. Voltage drop and congestion of feeders are the most common issues at the distribution networks level resulting from EV chargers. Smart charging is a well-accepted strategy to address these challenges [2].…

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