David Zapata Gonzalez, M.Sc.
Wirtschaftsinformatik, insb. Data Analytics
Wissenschaftlicher Mitarbeiter
- E-Mail:
- david.zapata@uni-paderborn.de
- Büroanschrift:
-
Zukunftsmeile 2
33102 Paderborn - Raum:
- ZM2.A.02.08
Publikationen
Aktuelle Publikationen
A Step Towards Inherently Interpretable Causal Machine Learning Models For Decision Support
D.R. Zapata Gonzalez, in: ECIS Conference, AIS, 2026.
Predicting Heterogeneous Treatment Effects Of Building Energy Saving Retrofits Using Causal Machine Learning
K. Zalipski, D.R. Zapata Gonzalez, O. Müller, in: 2026.
Benchmarking Time Series Foundation Models for Short-Term Household Electricity Load Forecasting
M. Meyer, D.R. Zapata Gonzalez, S.B. Kaltenpoth, O. Müller, IEEE Access 13 (2025) 218141–218153.
Bridging the gap between data-driven and theory-driven modelling – leveraging causal machine learning for integrative modelling of dynamical systems
D.R. Zapata Gonzalez, M. Meyer, O. Müller, in: 2025.
Process Mining for Robust Heat Integration through Process- and Product-Centric Energy Demand Modeling
D.R. Zapata Gonzalez, K. Brennig, K. Benkert, F. Schlosser, O. Müller, in: ACM SIGEnergy Energy Informatics Review, Association for Computing Machinery (ACM), 2025, pp. 19–31.
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