Julian Müller
Orcid: 0009-0001-5318-8022Affiliations:
- Mercedes-Benz AG, Sindelfingen, Germany
According to our database1,
Julian Müller
authored at least 4 papers
between 2023 and 2024.
Collaborative distances:
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Bibliography
2024
Enhancing Power Net Efficiency with Data-Driven Consumption Prediction - A Machine Learning Approach.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
Transferability of Machine Learning Models for Energy Consumption Prediction of In-Vehicle Low-Voltage Equipment: A Case Study.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024
2023
The Effect of Target Variable Rescaling on Energy Consumption Prediction in a Vehicle Powernet using Multi-Target Regression Trees: A study from the automotive industry.
Proceedings of the 8th International Conference on Machine Learning Technologies, 2023
Illuminating the Black Box: A Comparative Study of Explainable AI for Interpreting Time Series Data in Vehicle Power Net Consumption Models.
Proceedings of the International Conference on Machine Learning and Applications, 2023