In this article, we will explore the evolving field of waste-to-energy, highlight the importance of incorporating Business Intelligence (BI) and Data Analytics in designing these systems, and outline the strategic steps and challenges that engineers encounter in achieving.
The current study uses Machine Learning (ML) algorithms such as Decision Tree (DT), Naïve Bayes (NB), Random Forest (RF), Support Vector Machine (SVM) and XGBoost to detect and classify PV errors corresponding to Short Circuits (SC), Open Circuits (OC), Ground Faults (GF), and.