Straight Outta Logs: Can Large Language Models Overcome Preprocessing in Next Event Prediction?
K. Brennig, S.B. Kaltenpoth, O. Müller, in: Lecture Notes in Business Information Processing, Springer Nature Switzerland, Cham, 2025.

Benchmarking Time Series Foundation Models for Short-Term Household Electricity Load Forecasting
M. Meyer, D.R. Zapata Gonzalez, S.B. Kaltenpoth, O. Müller, IEEE Access 13 (2025) 218141–218153.

A Step Towards Cognitive Automation: Integrating LLM Agents with Process Rules
S.B. Kaltenpoth, A.M. Skolik, O. Müller, D. Beverungen, in: Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2025.

Don't Touch the Power Line - A Proof-of-Concept for Aligned LLM-Based Assistance Systems to Support the Maintenance in the Electricity Distribution System
S.B. Kaltenpoth, O. Müller, ACM SIGEnergy Energy Informatics Review 4 (2025) 16–22.

Knowledge Management for Service and Maintenance on the Distribution Grid—Conceptualizing an Assistance System based on a Large Language Model Wissensmanagement für Wartung und Instandhaltung im Verteilnetz – Konzeption eines Assistenzsystems basierend auf einem Large Language Model
P. zur Heiden, S.B. Kaltenpoth, HMD Praxis der Wirtschaftsinformatik (2024).

Towards Cognitive Assistance and Prognosis Systems in Power Distribution Grids – Open Issues, Suitable Technologies, and Implementation Concepts
R. Gitzel, M. Hoffmann, P. zur Heiden, A.M. Skolik, S.B. Kaltenpoth, O. Müller, C. Kanak, K. Kandiah, M.-F. Stroh, W. Boos, M. Zajadatz, M. Suriyah, T. Leibfried, D.S. Singhal, M. Bürger, D. Hunting, A. Rehmer, A. Boyaci, IEEE Access (2024) 1–1.

Getting in Contract with Large Language Models - An Agency Theory Perspective On Large Language Model Alignment
S.B. Kaltenpoth, O. Müller, in: Wirtschaftsinformatik 2024 Proceedings, 2024.