About this document
Neural Networks for Renewable Energy Integration by Jonathan Muñoz Tabora is a document available to read on EtoBox.
This document presents a bibliometric and literature review on the application of artificial neural networks (ANNs) for power flow estimation in renewable energy systems, particularly in Latin America. It highlights the advantages of ANNs over traditional methods like the Newton-Raphson method, emphasizing their computational efficiency and potential for optimizing power systems amidst the challenges of limited data and infrastructure. The review identifies significant gaps in regional research and calls fo
- Author
- Jonathan Muñoz Tabora
- Language
- EN