No title
The increasing demand for electric vehicle charging stations creates new challenges for electric grid planning. This thesis proposes a framework for forecasting realistic 24-hour peak load profiles for new direct current fast-charging stations without historical observations. The method combines $K$-means clustering of existing stations’ hourly load patterns and random forest models that predict b
