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1. Dynamic Phenotype Mapping in Evolutionary Algorithms for Energy Hub Scheduling

3. ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical Information

4. Creating Probabilistic Forecasts from Arbitrary Deterministic Forecasts using Conditional Invertible Neural Networks

5. Automating Value-Oriented Forecast Model Selection by Meta-learning: Application on a Dispatchable Feeder

6. Review of automated time series forecasting pipelines

7. pyWATTS: Python Workflow Automation Tool for Time Series

9. Evaluating Ensemble Post-Processing for Wind Power Forecasts

13. Model Diagnostics and Forecast Evaluation for Quantiles

14. Non-Sequential Machine Learning Pipelines with pyWATTS

20. Evaluating ensemble post-processing for wind power forecasts

24. Potential of Ensemble Copula Coupling for Wind Power Forecasting.

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