Theses
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Probabilistic forecasting of residential electric vehicle charging demand for low voltage distribution network planning
Isaacs thesis presents a novel probabilistic framework for forecasting EV adoption and charging demand on the LV network, integrating diverse open datasets with advanced statistical methods to deliver uncertainty-aware forecasts that can support evidence based investment decisions.