Explainable AI for tailored electricity consumption feedback-An experimental evaluation of visualizations. - Jacqueline Wastensteiner; Tobias Michael Weiss; Felix Haag; Konstantin Hopf (ECIS, 2021)

Augmented Cross-Selling Through Explainable AI - A Case From Energy Retailing. - Felix Haag; Konstantin Hopf; Pedro Menelau Vasconcelos; Thorsten Staake (ECIS, 2022)

Short-Term Electricity Load Forecasting Using the Temporal Fusion Transformer: Effect of Grid Hierarchies and Data Sources. - Elena Giacomazzi; Felix Haag; Konstantin Hopf (e-Energy, 2023)

Overcoming Anchoring Bias: The Potential of AI and XAI-based Decision Support. - Felix Haag; Carlo Stingl; Katrin Zerfass; Konstantin Hopf; Thorsten Staake (ICIS, 2023)

Addressing Learners' Heterogeneity in Higher Education: An Explainable AI-based Feedback Artifact for Digital Learning Environments. - Felix Haag; Sebastian A. Günther; Konstantin Hopf; Philipp Handschuh; Maria Klose; Thorsten Staake (Wirtschaftsinformatik, 2023)

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study. - Daniel R. Bayer; Felix Haag; Marco Pruckner; Konstantin Hopf (CoRR, 2025)

The Effect of Explainable AI-based Decision Support on Human Task Performance: A Meta-Analysis. - Felix Haag (CoRR, 2025)