Analysis of daily solar power prediction with data-driven approaches

•We develop daily solar power prediction models with data-driven approaches.•We introduce a parameter selection procedure for reducing dimensions of prediction models.•We report a comparative analysis of data mining algorithms in daily solar power prediction.•Data mining algorithms can perform better than persistent methods.•None of data mining algorithms can dominate others in all prediction scenarios.