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Found 2 papers, 1 papers with code
Data-driven Energy Consumption Modelling for Electric Micromobility using an Open Dataset
Furthermore, we provide a comprehensive analysis of energy consumption modelling based on the dataset using a set of representative machine learning algorithms and compare their performance against the contemporary mathematical models as a baseline.
Privacy-Aware Energy Consumption Modeling of Connected Battery Electric Vehicles using Federated Learning
Our findings show that FL methods can effectively improve the performance of BEV energy consumption prediction while maintaining user privacy.
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