Illuminating the Black Box: A Comparative Study of Explainable AI for Interpreting Time Series Data in Vehicle Power Net Consumption Models. - Julian Müller 003; Lukas Czekalla; Florian Schuchter; Georg Frey (ICMLA, 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. - Julian Müller 003; Joachim Sprave; Georg Frey (ICMLT, 2023)

Transferability of Machine Learning Models for Energy Consumption Prediction of In-Vehicle Low-Voltage Equipment: A Case Study. - Julian Müller 003; Xuanheng Liu; Jonas Maier; Georg Frey (CASE, 2024)

Enhancing Power Net Efficiency with Data-Driven Consumption Prediction - A Machine Learning Approach. - Julian Müller 003; Florian Schuchter; Daniel Brauneis; Georg Frey (IV, 2024)