Konstantin Hopf
Cited by
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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 (3), 141-148, 2016
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), 2017
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
24th European Conference on Information Systems (ECIS), 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
Smart Meter Data Analytics for Enhanced Energy Efficiency in the Residential Sector
M Sodenkamp, I Kozlovskiy, K Hopf, T Staake
13th International Conference on Wirtschaftsinformatik (WI2017), 2017
Energy Data Analytics for Improved Residential Service Quality and Energy Efficiency
K Hopf, M Sodenkamp, I Kozlovskiy
24th European Conference on Information Systems (ECIS), 2016
Identifying the Geographical Scope of Prohibition Signs
K Hopf, F Dageförde, D Wolter
12th International Conference on Spatial Information Theory, 247-267, 2015
Mining volunteered geographic information for predictive energy data analytics
K Hopf
Energy Informatics 1 (1), 1-21, 2018
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
Explaining and predicting annual electricity demand of enterprises–a case study from Switzerland
C Stingl, K Hopf, T Staake
Energy Informatics 1 (1), 149-166, 2018
Predictive Analytics for Energy Efficiency and Energy Retailing
K Hopf
Contributions of the Faculty of Information Systems and Applied Computer …, 2019
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
A Cognitive Computing Solution to Foster Retailing of Renewable Energy Systems
A Weigert, K Hopf, T Staake
AIS SIGGREEN Pre-ICIS Workshop, 2019
Smart-Meter-Datenanalyse für automatisierte Energieberatungen (" Smart Grid Data Analytics")-Schlussbericht
M Sodenkamp, K Hopf, I Kozlovskiy, T Staake
OPUS, 2016
Household classification using annual electricity consumption data
K Hopf, M Sodenkamp, I Kozlovskiy, T Staake
4th D-A-CH Energieinformatik Conference, 2015
SmartLoad–Smart Meter Data Analytics for Enhanced Energy Efficiency in the Residential Sector
A Weigert, K Hopf, T Staake, A Rast, J Marckhoff
Otto-Friedrich-Universität, 0
Methoden der Energiedatenanalyse: Schlussbericht; Vorhaben im Rahmen des Eurostars Projekts E! 9859 BENginell" Energy Data Analytics: Increasing Service Quality and Energy …
K Hopf, T Staake
Otto-Friedrich-Universität Bamberg, 0
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