Few-Shot Learning for Triplet-Based EV Energy Consumption Estimation
Predicting the energy consumption of an electric vehicle (EV) is often relevant when planning and managing electric mobility. The prediction is challenging as EV energy consumption is highly variable and dependent on context. First, this paper proposes an integrated framework for the collection of o...
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| Main Authors: | Alminas Čivilis, Linas Petkevičius, Simonas Šaltenis, Kristian Torp, Ieva Markucevičiūtė-Vinckė |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
|
| Series: | Applied Artificial Intelligence |
| Online Access: | https://www.tandfonline.com/doi/10.1080/08839514.2025.2474785 |
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