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feature selection 1renewable energy prediction 1solar power 1wind power 1wrapper methods 1

From the 1 of 1 linked paper with an AI index.

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1 paper

cs.LG2026

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

Daniel Grillmeyer, Marius Hadry, Michael Stenger +3

The paper introduces a clustering‑based wrapper method (CSFS) for automatically selecting input variables in wind and solar power forecasting, showing comparable accuracy to standa…