An artificial immune-based hybrid multi-layer feedforward neural network for predicting grid-connected photovoltaic system output

This paper presents a Hybrid Multi-Layer Feedforward Neural Network (HMLFNN) technique for predicting the output from a grid-connected photovoltaic (GCPV) system. In the proposed HMLFNN, the Artificial Immune System (AIS) was selected as the optimizer for the training process of the Multi-Layer Feed...

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Bibliographic Details
Main Authors: Musirin, I (Author), Rahman, TKA (Author), Shaari, S (Author), Sulaiman, SI (Author)
Format: Article
Language:English
Online Access:View Fulltext in Publisher