Performance analysis of three ANN models using improved fast evolutionary programming for power output prediction in grid-connected photovoltaic system / Puteri Nor Ashikin Megat Yunus, Shahril Irwan Sulaiman and Ahmad Maliki Omar

• Main Authors: Megat Yunus, Puteri Nor Ashikin, Sulaiman, Shahril Irwan, Omar, Ahmad Maliki
• Format: Article
• Language: English
• Published: UiTM Press 2018
• Subjects: Evolutionary programming (Computer science). Genetic algorithms; Neural networks (Computer science); Photovoltaic power systems
• Online Access: https://ir.uitm.edu.my/id/eprint/63049/1/63049.pdf; https://ir.uitm.edu.my/id/eprint/63049/; https://jeesr.uitm.edu.my/v1/
• Institution: Universiti Teknologi Mara

This paper presents an assessment of three ANN models using hybrid Improved Fast Evolutionary Programming IFEP-ANN techniques for solving single objective optimization problem. In this study, multi-layer feed forward ANN models for the prediction of the total AC power output from a grid-connecte...