7 Publications
2026 | Conference Paper | LibreCat-ID: 65811
Zapata Gonzalez, D. R. (2026). A Step Towards Inherently Interpretable Causal Machine Learning Models For Decision Support. ECIS Conference.
LibreCat
2026 | Conference Paper | LibreCat-ID: 65815
Zalipski, K., Zapata Gonzalez, D. R., & Müller, O. (2026). Predicting Heterogeneous Treatment Effects Of Building Energy Saving Retrofits Using Causal Machine Learning.
LibreCat
2026 | Journal Article | LibreCat-ID: 65810
Zapata Gonzalez, D. R., Meyer, M., Zalipski, K., & Müller, O. (2026). Temporal causal feature selection for robust machine learning modelling of data center operations. Applied Energy, 417, Article 127984. https://doi.org/10.1016/j.apenergy.2026.127984
LibreCat
| DOI
2025 | Journal Article | LibreCat-ID: 64870
Meyer, M., Zapata Gonzalez, D. R., Kaltenpoth, S. B., & Müller, O. (2025). Benchmarking Time Series Foundation Models for Short-Term Household Electricity Load Forecasting. IEEE Access, 13, 218141–218153. https://doi.org/10.1109/access.2025.3648056
LibreCat
| DOI
2025 | Conference Paper | LibreCat-ID: 63397 | 
Zapata Gonzalez, D. R., Brennig, K., Benkert, K., Schlosser, F., & Müller, O. (2025). Process Mining for Robust Heat Integration through Process- and Product-Centric Energy Demand Modeling. ACM SIGEnergy Energy Informatics Review, 5(3), 19–31. https://doi.org/10.1145/3777518.3777520
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2025 | Conference Paper | LibreCat-ID: 63400 |
Zapata Gonzalez, D. R., Meyer, M., & Müller, O. (2025). Causal Machine Learning Approaches for Modelling Data Center Heat Recovery: A Physical Testbed Study. ACM SIGEnergy Energy Informatics Review, 5(2), 4–10. https://doi.org/10.1145/3757892.3757893
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2025 | Conference Paper | LibreCat-ID: 60680
Zapata Gonzalez, D. R., Meyer, M., & Müller, O. (2025). Bridging the gap between data-driven and theory-driven modelling – leveraging causal machine learning for integrative modelling of dynamical systems. European Conference on Information Systems, Amman, Jordan.
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| Download (ext.)
7 Publications
2026 | Conference Paper | LibreCat-ID: 65811
Zapata Gonzalez, D. R. (2026). A Step Towards Inherently Interpretable Causal Machine Learning Models For Decision Support. ECIS Conference.
LibreCat
2026 | Conference Paper | LibreCat-ID: 65815
Zalipski, K., Zapata Gonzalez, D. R., & Müller, O. (2026). Predicting Heterogeneous Treatment Effects Of Building Energy Saving Retrofits Using Causal Machine Learning.
LibreCat
2026 | Journal Article | LibreCat-ID: 65810
Zapata Gonzalez, D. R., Meyer, M., Zalipski, K., & Müller, O. (2026). Temporal causal feature selection for robust machine learning modelling of data center operations. Applied Energy, 417, Article 127984. https://doi.org/10.1016/j.apenergy.2026.127984
LibreCat
| DOI
2025 | Journal Article | LibreCat-ID: 64870
Meyer, M., Zapata Gonzalez, D. R., Kaltenpoth, S. B., & Müller, O. (2025). Benchmarking Time Series Foundation Models for Short-Term Household Electricity Load Forecasting. IEEE Access, 13, 218141–218153. https://doi.org/10.1109/access.2025.3648056
LibreCat
| DOI
2025 | Conference Paper | LibreCat-ID: 63397 |
Zapata Gonzalez, D. R., Brennig, K., Benkert, K., Schlosser, F., & Müller, O. (2025). Process Mining for Robust Heat Integration through Process- and Product-Centric Energy Demand Modeling. ACM SIGEnergy Energy Informatics Review, 5(3), 19–31. https://doi.org/10.1145/3777518.3777520
LibreCat
| DOI
| Download (ext.)
2025 | Conference Paper | LibreCat-ID: 63400 |
Zapata Gonzalez, D. R., Meyer, M., & Müller, O. (2025). Causal Machine Learning Approaches for Modelling Data Center Heat Recovery: A Physical Testbed Study. ACM SIGEnergy Energy Informatics Review, 5(2), 4–10. https://doi.org/10.1145/3757892.3757893
LibreCat
| DOI
| Download (ext.)
2025 | Conference Paper | LibreCat-ID: 60680
Zapata Gonzalez, D. R., Meyer, M., & Müller, O. (2025). Bridging the gap between data-driven and theory-driven modelling – leveraging causal machine learning for integrative modelling of dynamical systems. European Conference on Information Systems, Amman, Jordan.
LibreCat
| Download (ext.)