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What is EV Charging Demand Prediction Model about?

This document presents a novel approach called PAG for predicting electric vehicle (EV) charging demand by integrating physics-informed meta-learning and attention-based graph learning techniques. The proposed model addresses challenges in feature extraction and misinterpretation of data, achieving state-of-the-art forecasting performance on a dataset from Shenzhen, China. Results indicate that PAG reduces forecasting errors and accurately reflects the relationship between charging demand and pricing fluctu

Author

ashadoit

Language

EN