Konstantin Hopf
Cited by
Cited by
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
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
Enhancing energy efficiency in the residential sector with smart meter data analytics
K Hopf, M Sodenkamp, T Staake
Electronic Markets 28 (4), 453-473, 2018
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
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
Detection of heat pumps from smart meter and open data
A Weigert, K Hopf, N Weinig, T Staake
Energy Informatics 3 (Suppl 1), 21, 2020
Filter Methods for Feature Selection in Supervised Machine Learning Applications--Review and Benchmark
K Hopf, S Reifenrath
arXiv preprint arXiv:2111.12140, 2021
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
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
Mining volunteered geographic information for predictive energy data analytics
K Hopf
Energy Informatics 1, 1-21, 2018
Predictive Analytics for Energy Efficiency and Energy Retailing
K Hopf
Contributions of the Faculty of Information Systems and Applied Computer …, 2019
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
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
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
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
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
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
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
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
Identifying the Geographical Scope of Prohibition Signs
K Hopf, F Dageförde, D Wolter
12th International Conference on Spatial Information Theory, 247-267, 2015
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