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Sustainability Assessment of Hybrid Community Energy Systems Read chapter Read first chapter

2015 | OriginalPaper | Chapter

23. Complex-Valued Wavelet Neural Network Prediction of the Daily Global Solar Irradiation of the Great Maghreb Region

Authors : Lyes Saad Saoud, Fayçal Rahmoune, Victor Tourtchine, Kamel Baddari

Published in: Progress in Clean Energy, Volume 1

Publisher: Springer International Publishing

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Abstract

In this chapter, the prediction of the daily global solar irradiation of the great Maghreb region using the complex-valued wavelet neural network (CVWNN) is presented. Both multi-input single output (MISO) and multi-input multi-output (MIMO) strategies are considered. The meteorological data of the capitals of the great Maghreb, which are Tripoli (Libya), Tunis (Tunisia), Algiers (Algeria), Rabat (Morocco), El Aaiun (Western Sahara), and Nouakchott (Mauritania), are used like samples from each country. To test the applicability and the feasibility of the CWNN to predict the daily global irradiation for the great Maghreb case, several models are presented. Results obtained throughout this chapter show that the CWN technique is suitable for prediction of the daily solar irradiation of the great Maghreb region.

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Metadata
Title
Complex-Valued Wavelet Neural Network Prediction of the Daily Global Solar Irradiation of the Great Maghreb Region
Authors
Lyes Saad Saoud
Fayçal Rahmoune
Victor Tourtchine
Kamel Baddari
Copyright Year
2015
Book
Progress in Clean Energy, Volume 1

Print ISBN: 978-3-319-16708-4

Electronic ISBN: 978-3-319-16709-1

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-16709-1_23