| Feature extraction and filtering for household classification based on smart electricity meter data K Hopf, M Sodenkamp, I Kozlovkiy, T Staake Computer Science-Research and Development 31, 141-148, 2016 | 58 | 2016 |
| Enhancing energy efficiency in the residential sector with smart meter data analytics K Hopf, M Sodenkamp, T Staake Electronic Markets 28, 453-473, 2018 | 36 | 2018 |
| Shifting ML value creation mechanisms: A process model of ML value creation A Shollo, K Hopf, T Thiess, O Müller The Journal of Strategic Information Systems 31 (3), 101734, 2022 | 17 | 2022 |
| Predictive Customer Data Analytics–The Value of Public Statistical Data and the Geographic Model Transferability K Hopf, SJ Riechel, M Sodenkamp, T Staake 38. International Conference on Information Systems (ICIS'17), 2017 | 17 | 2017 |
| Detection of heat pumps from smart meter and open data A Weigert, K Hopf, N Weinig, T Staake Energy Informatics 3 (1), 1-14, 2020 | 15 | 2020 |
| Energy Informatics for Environmental, Economic and Societal Sustainability: A Case of the Large-Scale Detection of Households With Old Heating Systems I Kozlovskiy, M Sodenkamp, K Hopf, T Staake 24. European Conference on Information Systems (ECIS'16), 2016 | 15 | 2016 |
| Explainable AI for Tailored Electricity Consumption Feedback–An Experimental Evaluation of Visualizations J Wastensteiner, TM Weiss, F Haag, K Hopf 29. European Conference on Information Systems (ECIS'21), 2021 | 14 | 2021 |
| Predictive Analytics for Energy Efficiency and Energy Retailing K Hopf Contributions of the Faculty of Information Systems and Applied Computer …, 2019 | 12 | 2019 |
| Smart Meter Data Analytics for Enhanced Energy Efficiency in the Residential Sector M Sodenkamp, I Kozlovskiy, K Hopf, T Staake 13. International Conference on Wirtschaftsinformatik (WI2017), 2017 | 12 | 2017 |
| Filter Methods for Feature Selection in Supervised Machine Learning Applications--Review and Benchmark K Hopf, S Reifenrath arXiv preprint arXiv:2111.12140, 2021 | 11 | 2021 |
| Mining volunteered geographic information for predictive energy data analytics K Hopf Energy Informatics 1 (1), 1-21, 2018 | 11 | 2018 |
| Energy Data Analytics for Improved Residential Service Quality and Energy Efficiency K Hopf, M Sodenkamp, I Kozlovskiy 24. European Conference on Information Systems (ECIS'16), 2016 | 10 | 2016 |
| Using supervised machine learning to explore energy consumption data in private sector housing M Sodenkamp, K Hopf, T Staake Handbook of research on organizational transformations through big data …, 2014 | 10 | 2014 |
| Value creation from analytics with limited data: a case study on the retailing of durable consumer goods K Hopf, A Weigert, T Staake Journal of Decision Systems 32 (2), 289-325, 2023 | 9 | 2023 |
| A Decision Support System for Photovoltaic Potential Estimation K Hopf, M Kormann, M Sodenkamp, T Staake International Conference on Internet of Things and Machine Learning (IML 2017), 2017 | 9 | 2017 |
| Identifying the Geographical Scope of Prohibition Signs K Hopf, F Dageförde, D Wolter 12th International Conference on Spatial Information Theory, 247-267, 2015 | 7 | 2015 |
| Heat pump inspections result in large energy savings when a pre-selection of households is performed: A promising use case of smart meter data A Weigert, K Hopf, SA Günther, T Staake Energy Policy 169, 113156, 2022 | 6 | 2022 |
| Augmented Cross-Selling Through Explainable AI—A Case from Energy Retailing F Haag, K Hopf, PM Vasconcelos, T Staake 30th European Conference on Information Systems (ECIS'22), 2022 | 5 | 2022 |
| Knowledge Management in the Era of Artificial Intelligence-Developing an Integrative Framework N Fteimi, K Hopf 29. European Conference on Information Systems (ECIS'21), 2021 | 5 | 2021 |
| Short-Term Electricity Load Forecasting Using the Temporal Fusion Transformer: Effect of Grid Hierarchies and Data Sources E Giacomazzi, F Haag, K Hopf e-Energy '23: Proceedings of the 14th ACM International Conference on Future …, 2023 | 4 | 2023 |
Thorsten StaakeProfessor, Chair of Information Systems and Energy Efficient Systems, University of BambergVerified email at uni-bamberg.de
