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Konstantin Hopf
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2020 – today
- 2024
- [c14]Konstantin Hopf, Mayur Joshi, Marta Stelmaszak, Arisa Shollo:
Crafting Ever-Changing Data Products: Towards a Process Model of Data Work. ECIS 2024 - [i6]Felix Haag, Carlo Stingl, Katrin Zerfass, Konstantin Hopf, Thorsten Staake:
Overcoming Anchoring Bias: The Potential of AI and XAI-based Decision Support. CoRR abs/2405.04972 (2024) - 2023
- [j7]Konstantin Hopf
, Andreas Weigert
Value creation from analytics with limited data: a case study on the retailing of durable consumer goods. J. Decis. Syst. 32(2): 289-325 (2023) - [c13]Konstantin Hopf
Meta-Regression Analysis of Errors in Short-Term Electricity Load Forecasting. e-Energy (Companion) 2023: 32-39 - [c12]Elena Giacomazzi
Short-Term Electricity Load Forecasting Using the Temporal Fusion Transformer: Effect of Grid Hierarchies and Data Sources. e-Energy 2023: 353-360 - [c11]Felix Haag, Carlo Stingl, Katrin Zerfass, Konstantin Hopf, Thorsten Staake:
Overcoming Anchoring Bias: The Potential of AI and XAI-based Decision Support. ICIS 2023 - [c10]Felix Haag, Sebastian A. Günther, Konstantin Hopf, Philipp Handschuh, Maria Klose, Thorsten Staake:
Addressing Learners' Heterogeneity in Higher Education: An Explainable AI-based Feedback Artifact for Digital Learning Environments. Wirtschaftsinformatik 2023: 74 - [i5]Elena Giacomazzi, Felix Haag, Konstantin Hopf:
Short-Term Electricity Load Forecasting Using the Temporal Fusion Transformer: Effect of Grid Hierarchies and Data Sources. CoRR abs/2305.10559 (2023) - [i4]Konstantin Hopf, Hannah Hartstang, Thorsten Staake:
Meta-Regression Analysis of Errors in Short-Term Electricity Load Forecasting. CoRR abs/2305.18550 (2023) - 2022
- [j6]Arisa Shollo, Konstantin Hopf
Shifting ML value creation mechanisms: A process model of ML value creation. J. Strateg. Inf. Syst. 31(3): 101734 (2022) - [c9]Felix Haag, Konstantin Hopf, Pedro Menelau Vasconcelos, Thorsten Staake:
Augmented Cross-Selling Through Explainable AI - A Case From Energy Retailing. ECIS 2022 - [i3]Felix Haag, Konstantin Hopf
Augmented cross-selling through explainable AI - a case from energy retailing. CoRR abs/2208.11404 (2022) - [i2]Jacqueline Wastensteiner, Tobias Michael Weiss, Felix Haag, Konstantin Hopf
Explainable AI for tailored electricity consumption feedback - an experimental evaluation of visualizations. CoRR abs/2208.11408 (2022) - 2021
- [c8]Nora Fteimi, Konstantin Hopf:
Knowledge Management in the Era of Artificial Intelligence - Developing an Integrative Framework. ECIS 2021 - [c7]Jacqueline Wastensteiner, Tobias Michael Weiss, Felix Haag, Konstantin Hopf:
Explainable AI for tailored electricity consumption feedback-An experimental evaluation of visualizations. ECIS 2021 - [i1]Konstantin Hopf, Sascha Reifenrath:
Filter Methods for Feature Selection in Supervised Machine Learning Applications - Review and Benchmark. CoRR abs/2111.12140 (2021) - 2020
- [j5]Andreas Weigert
Detection of heat pumps from smart meter and open data. Energy Inform. 3(S1) (2020)
2010 – 2019
- 2019
- [b1]Konstantin Hopf:
Predictive Analytics for Energy Efficiency and Energy Retailing. University of Bamberg, Germany, 2019, ISBN 978-3-86309-668-7, pp. 1-251 - 2018
- [j4]Konstantin Hopf
Enhancing energy efficiency in the residential sector with smart meter data analytics. Electron. Mark. 28(4): 453-473 (2018) - [j3]Konstantin Hopf
Mining volunteered geographic information for predictive energy data analytics. Energy Inform. 1(1) (2018) - [j2]Carlo Stingl, Konstantin Hopf
Explaining and predicting annual electricity demand of enterprises - a case study from Switzerland. Energy Inform. 1(S1) (2018) - 2017
- [c6]Konstantin Hopf, Sascha Jonas Riechel, Mariya A. Sodenkamp, Thorsten Staake:
Predictive Customer Data Analytics - The Value of Public Statistical Data and the Geographic Model Transferability. ICIS 2017 - [c5]Konstantin Hopf
A decision support system for photovoltaic potential estimation. IML 2017: 3:1-3:10 - [c4]Mariya A. Sodenkamp, Ilya Kozlovskiy, Konstantin Hopf, Thorsten Staake:
Smart Meter Data Analytics for Enhanced Energy Efficiency in the Residential Sector. Wirtschaftsinformatik 2017 - 2016
- [j1]Konstantin Hopf
Feature extraction and filtering for household classification based on smart electricity meter data. Comput. Sci. Res. Dev. 31(3): 141-148 (2016) - [c3]Ilya Kozlovskiy, Mariya A. Sodenkamp, Konstantin Hopf, Thorsten Staake:
Energy Informatics for Environmental, Economic and Societal Sustainability: a Case of the Large-Scale Detection of Households with Old heating Systems. ECIS 2016: Research Paper 37 - [c2]Konstantin Hopf, Mariya A. Sodenkamp, Ilya Kozlovskiy:
Energy Data Analytics for Improved residential Service Quality and Energy Efficiency. ECIS 2016: Research-in-Progress Paper 73 - 2015
- [c1]Konstantin Hopf
Identifying the Geographical Scope of Prohibition Signs. COSIT 2015: 247-267
Coauthor Index
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