Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives

Javier Del Ser, David Casillas-Perez, Laura Cornejo-Bueno, Luis Prieto-Godino, Julia Sanz-Justo, Carlos Casanova-Mateo, Sancho Salcedo-Sanz

Abstract: Highlights•We review renewable energy prediction tackled with randomization-based models.•Analysis, examination, and critical analysis of the literature around a taxonomy.•Experiments over three problems with real-world data support our conclusions.•Challenges and research directions are given to stimulate research on this topic.