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

2015 | OriginalPaper | Chapter

19. Short-Term Forecasting of the Global Solar Irradiation Using the Fuzzy Modeling Technique: Case Study of Tamanrasset City, Algeria

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 short-term forecasting of the global solar irradiation using the fuzzy modeling technique is proposed. The multi-input multi-output (MIMO) fuzzy models are used to predict the next 24 h ahead based on the mean values of the daily solar irradiation and the daily air temperature. The measured meteorological data of Tamanrasset City, Algeria (altitude, 1,362 m; latitude, 22°48 N; longitude, 05°26 E) is used, where the 2 years (2007–2008) are used for modeling and the year 2009 is used to validate the developed model. Several models are presented to test the feasibility and the performance of the fuzzy modeling technique for forecasting hourly solar irradiation in the MIMO strategy. Results obtained throughout this chapter show that the fuzzy modeling technique is suitable for a short-time forecasting of the solar irradiation.

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previous chapter Refrigeration System Optimization for Drinking Water Production Through Atmospheric Air Dehumidification
next chapter Improving WRF GHI Forecasts with Model Output Statistics
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Metadata
Title
Short-Term Forecasting of the Global Solar Irradiation Using the Fuzzy Modeling Technique: Case Study of Tamanrasset City, Algeria
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_19