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Probabilistic Prediction of Energy Demand and Driving Range for Electric Vehicles with Federated Learning by Adam Thor Thorgeirsson ISBN 9783731513711, 3731513714 instant download

  • SKU: EBN-237300470
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Instant download (eBook) Probabilistic Prediction of Energy Demand and Driving Range for Electric Vehicles with Federated Learning after payment.
Authors:Adam Thor Thorgeirsson
Pages:190 pages
Year:2024
Publisher:KIT Scientific Publishing
Language:english
File Size:2.74 MB
Format:pdf
ISBNS:9783731513711, 3731513714
Categories: Ebooks

Product desciption

Probabilistic Prediction of Energy Demand and Driving Range for Electric Vehicles with Federated Learning by Adam Thor Thorgeirsson ISBN 9783731513711, 3731513714 instant download

In this work, an extension of the federated averaging algorithm, FedAvg-Gaussian, is applied to train probabilistic neural networks. The performance advantage of probabilistic prediction models is demonstrated and it is shown that federated learning can improve driving range prediction. Using probabilistic predictions, routing and charge planning based on destination attainability can be applied. Furthermore, it is shown that probabilistic predictions lead to reduced travel time.
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