A new design methodology to predict wind farm energy production by means of a spiking neural network

A new design methodology to predict wind farm energy production by means of a spiking neural network–based system

Published:2017-07-10 Issue:4 Volume:32 Page:
ISSN:0894-3370
Container-title:International Journal of Numerical Modelling: Electronic Networks, Devices and Fields
language:en
Short-container-title:Int J Numer Model

Author:

Brusca Sebastian¹,Capizzi Giacomo²^ORCID,Lo Sciuto Grazia²,Susi Gianluca³

Affiliation:

1. Department of EngineeringUniversity of Messina Messina Italy

2. Department of Electrical, Electronics and Informatics EngineeringUniversity of Catania Catania Italy

3. Laboratory of Cognitive and Computational Neuroscience (UCM‐UPM), Centre for Biomedical TechnologyTechnical University of Madrid Madrid Spain

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Science Applications,Modelling and Simulation

Link

Reference36 articles.

1. Wind turbine placement optimization by means of the Monte Carlo simulation method;Brusca S;Model Simul Eng,2014

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