#2587. Predicting the Output Power of a Photovoltaic Module Using an Optimized Offline Cascade-Forward Neural Network-Based on Genetic Algorithm Model

December 2026publication date
Proposal available till 30-05-2025
4 total number of authors per manuscript4010 $

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Journal’s subject area:
Economics and Econometrics;
Energy (all);
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Abstract:
This article aims to improve the performance of a Cascade Forward Neural Network (CFNN) model for predicting the power output of a photovoltaic (PV) module. This increases the number of detected neurons using a genetic algorithm (GA). Optimization is applied to minimize the root mean square error (RMSE) between the actual and predicted PV power output.
Keywords:
ANN; CFNN; CFNN-GA; GA; Output power; PV

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