Torrefied biomass is a vital green energy source with applications in circular economies,
addressing agricultural residue and rising energy demands. In this study, ML models were …

The increasing replacement of traditional construction materials with modern alternatives
often overlooks their superior environmental adaptability and sustainability, resulting in …

This study focuses on develo** four machine learning (ML) models (Gaussian process
regression (GPR), support vector machine (SVM), decision tree (DT), and ensemble learning …

Reliable prediction of photovoltaic power generation is key to the efficient management of
energy systems in response to the inherent uncertainty of renewable energy sources …

The purpose of this paper is to explore the performance of ridge regression and the random
forest model improved by genetic algorithm in predicting the Boston house price data set …