Machine Learning-Assisted Hybrid Cuckoo Search for Predictive Optimization in Renewable Energy Systems

This dataset contains simulated input data, experimental results, and generated outputs used in the study “Machine Learning-Assisted Hybrid Cuckoo Search for Predictive Optimization in Renewable Energy Systems.”The data were synthetically generated through computational modeling to support the optimization experiments and predictive modeling described in the manuscript.No real-world or confidential data were used. Specifically, the dataset includes:• Simulated renewable energy demand and generation time-series (training and testing sets).• Preprocessed input matrices for the predictive optimization model.• Parameter settings and configuration files for the hybrid Cuckoo Search algorithm.• Intermediate and final optimization results, including best-found solutions and convergence statistics.• Supporting data used to generate all figures, tables, and performance metrics reported in the article. All files are provided in open formats (CSV, XLSX, TXT) to ensure full reproducibility.Researchers are free to reuse, adapt, and extend this dataset under the CC-BY 4.0 license, provided proper attribution is given. Keywords: Renewable Energy, Predictive Optimization, Machine Learning, Cuckoo Search, Metaheuristics, Open Data, Energy Forecasting, Simulated Data.