Author

Michael Stenger

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Review Jul 2026

Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study

Cluster-based Sequential Feature Selection (CSFS), a novel, model-agnostic, clustering-based wrapper method for automatic, efficient, and reliable feature selection in renewable energy prediction pipelines, is proposed and empirically evaluated on both use cases.

Daniel Grillmeyer, Marius Hadry, Michael Stenger et al. · arXiv.org · 0 citations