Direct Solar Radiation Prediction Based on Soft-Computing Algorithms Including Novel Predictive Atmospheric Variables
作者： S. Salcedo-Sanz , C. Casanova-Mateo , A. Pastor-Sánchez , D. Gallo-Marazuela , A. Labajo-Salazar
DOI: 10.1007/978-3-642-41278-3_39
关键词:
摘要: In this paper we tackle a problem of solar radiation prediction with Soft-Computing Techniques. We introduce new atmospheric input variables in the problem, which help to obtain an accurate radiation. test performance two state-of-the art algorithms: Extreme Learning Machines and Support Vector regression algorithms, real Murcia, Spain, where have obtained excellent results proposed techniques.
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