Use of Optimised LSTM Neural Networks Pre-Trained With Synthetic Data to Estimate PV Generation

Use of Optimised LSTM Neural Networks Pre-Trained With Synthetic Data to Estimate PV Generation

Optimising the use of the photovoltaic (PV) energy is essential to reduce fossil fuel emissions by increasing the use of solar power generation. In recent years, research has focused on physical simulations or artifical intelligence models attempting to increase the accuracy of PV generation predict...

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Bibliographic Details
Main Authors: Miguel Martínez-Comesaña, Javier Martínez-Torres, Pablo Eguía-Oller, Javier López-Gómez
Format: Article
Language:English
Published: Universidad Internacional de La Rioja (UNIR) 2025-06-01
Series:International Journal of Interactive Multimedia and Artificial Intelligence
Subjects:
genetic algorithms
lstm
optimisation
pre-training
pv power
synthetic datasets
Online Access:https://www.ijimai.org/journal/bibcite/reference/3391
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