Intelligent neural network design for forecasting loads in electric micro networks

Being able to predict power demand and output from renewable energy sources is an essential asset for the optimization of the performance of electric networks. In the particular case of microgrids the importance of that ability is enhanced even more so, since in general a great percentage of the ene...

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Bibliographische Detailangaben

1. Verfasser:	Fossati, Juan Pablo (author)
Format:	article
Sprache:	Spanisch
Veröffentlicht:	2019
Schlagworte:	Redes neuronales artificiales Pronósticos Microrredes eléctricas Algoritmos genéticos Artificial Neural Networks (ANN) Forecasting Electric Microgrids Genetic Algorithms
Online-Zugang:	http://revistas.um.edu.uy/index.php/ingenieria/article/view/381
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