Vehicle Energy Consumption

Accurately predicting vehicle energy consumption is crucial for optimizing transportation systems and reducing environmental impact. Current research focuses on developing data-driven models, often employing neural networks (including ensembles and probabilistic variants) to account for diverse factors like driver behavior, environmental conditions, and vehicle characteristics. These models are increasingly incorporating techniques like federated learning to address privacy concerns while improving prediction accuracy, ultimately aiming to enhance trip planning, reduce energy costs, and contribute to more sustainable transportation.