Comparison and Optimization of Neural Networks and Network Ensembles for Gap Filling of Wind Energy Data

Comparison and Optimization of Neural Networks and Network Ensembles for Gap Filling of Wind Energy Data

Wind turbines play an important role in providing electrical energy for an ever-growing demand. Due to climate change driven by anthropogenic emissions of greenhouse gases, the exploration and use of sustainable energy sources is essential with wind energy covering a significant portion. Data of exi...

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Bibliographic Details
Main Authors:	Andres Schmidt, Maya Suchaneck
Format:	Article
Language:	English
Published:	Hindawi Limited 2014-01-01
Series:	Journal of Renewable Energy
Online Access:	http://dx.doi.org/10.1155/2014/986830

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