arXiv cs.AI
· Papers
Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study
arXiv:2607.14024v1 Announce Type: cross Abstract: With rising global energy demand and growing awareness of climate change and its impacts, the share of renewable energies in the global energy mix continues to grow. Unlike conventional power generation, the output of renewable energy sources cannot be controlled as con