Identifying the Geographical Scope of Prohibition Signs. - Konstantin Hopf; Florian Dageförde; Diedrich Wolter (COSIT, 2015)

Energy Data Analytics for Improved residential Service Quality and Energy Efficiency. - Konstantin Hopf; Mariya A. Sodenkamp; Ilya Kozlovskiy (ECIS, 2016)

Energy Informatics for Environmental, Economic and Societal Sustainability: a Case of the Large-Scale Detection of Households with Old heating Systems. - Ilya Kozlovskiy; Mariya A. Sodenkamp; Konstantin Hopf; Thorsten Staake (ECIS, 2016)

Feature extraction and filtering for household classification based on smart electricity meter data. - Konstantin Hopf; Mariya A. Sodenkamp; Ilya Kozlovskiy; Thorsten Staake (Comput. Sci. Res. Dev., 2016)

Predictive Customer Data Analytics - The Value of Public Statistical Data and the Geographic Model Transferability. - Konstantin Hopf; Sascha Jonas Riechel; Mariya A. Sodenkamp; Thorsten Staake (ICIS, 2017)

A decision support system for photovoltaic potential estimation. - Konstantin Hopf; Michael Kormann; Mariya A. Sodenkamp; Thorsten Staake (IML, 2017)

Smart Meter Data Analytics for Enhanced Energy Efficiency in the Residential Sector. - Mariya A. Sodenkamp; Ilya Kozlovskiy; Konstantin Hopf; Thorsten Staake (Wirtschaftsinformatik, 2017)

Enhancing energy efficiency in the residential sector with smart meter data analytics. - Konstantin Hopf; Mariya A. Sodenkamp; Thorsten Staake (Electron. Mark., 2018)

Mining volunteered geographic information for predictive energy data analytics. - Konstantin Hopf (Energy Inform., 2018)

Explaining and predicting annual electricity demand of enterprises - a case study from Switzerland. - Carlo Stingl; Konstantin Hopf; Thorsten Staake (Energy Inform., 2018)

Predictive Analytics for Energy Efficiency and Energy Retailing. - Konstantin Hopf (2019)

Detection of heat pumps from smart meter and open data. - Andreas Weigert; Konstantin Hopf; Nicolai Weinig; Thorsten Staake (Energy Inform., 2020)

Knowledge Management in the Era of Artificial Intelligence - Developing an Integrative Framework. - Nora Fteimi; Konstantin Hopf (ECIS, 2021)

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

Filter Methods for Feature Selection in Supervised Machine Learning Applications - Review and Benchmark. - Konstantin Hopf; Sascha Reifenrath (CoRR, 2021)

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

Shifting ML value creation mechanisms: A process model of ML value creation. - Arisa Shollo; Konstantin Hopf; Tiemo Thiess; Oliver Müller 001 (J. Strateg. Inf. Syst., 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)

Meta-Regression Analysis of Errors in Short-Term Electricity Load Forecasting. - Konstantin Hopf; Hannah Hartstang; Thorsten Staake (e-Energy (Companion), 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)

Value creation from analytics with limited data: a case study on the retailing of durable consumer goods. - Konstantin Hopf; Andreas Weigert; Thorsten Staake (J. Decis. Syst., 2023)

Crafting Ever-Changing Data Products: Towards a Process Model of Data Work. - Konstantin Hopf; Mayur Joshi; Marta Stelmaszak; Arisa Shollo (ECIS, 2024)

Bridging Fields of Practice: How Boundary Objects Enable Collaboration in Data Science Initiatives. - Nils Rahlmeier; Konstantin Hopf (Wirtschaftsinformatik, 2024)

The group mind of hybrid teams with humans and intelligent agents in knowledge-intense work. - Konstantin Hopf; Nora Nahr; Thorsten Staake; Franz Lehner 001 (J. Inf. Technol., 2025)

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