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Probabilistic Prediction of Energy Demand and Driving Range for Electric Vehicles with Federated Learning
Language: en
Pages: 190
Authors: Thorgeirsson, Adam Thor
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Type: BOOK - Published: 2024-09-03 - Publisher: KIT Scientific Publishing

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In this work, an extension of the federated averaging algorithm, FedAvg-Gaussian, is applied to train probabilistic neural networks. The performance advantage o
Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models
Language: en
Pages: 190
Authors: Scheubner, Stefan
Categories: Technology & Engineering
Type: BOOK - Published: 2022-06-03 - Publisher: KIT Scientific Publishing

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This work aims at improving the energy consumption forecast of electric vehicles by enhancing the prediction with a notion of uncertainty. The algorithm itself
Energy Consumption Prediction and Routing for Electric Commercial Vehicles
Language: en
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Type: BOOK - Published: 2021 - Publisher:

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Optimizing and Diversifying Electric Vehicle Driving Range for U.S. Drivers
Language: en
Pages: 16
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Type: BOOK - Published: 2014 - Publisher:

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Properly determining the driving range is critical for accurately predicting the sales and social benefits of battery electric vehicles (BEVs). This study propo
Energy Data Analytics for Smart Meter Data
Language: en
Pages: 346
Authors: Andreas Reinhardt
Categories: Technology & Engineering
Type: BOOK - Published: 2021-09-23 - Publisher: Mdpi AG

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The principal advantage of smart electricity meters is their ability to transfer digitized electricity consumption data to remote processing systems. The data c