Original paper

Global horizontal radiation forecast using forward regression on a quadratic kernel support vector machine: Case study of the Tibet Autonomous Region in China

Energy9.00
Volume: 133, Pages: 270 - 283
Published: Aug 1, 2017
Abstract
Effective and accurate forecasting of solar radiation plays a critically important role in the design of grid-connected photovoltaic installations. However, this is an extremely challenging task because of inconsistencies in variable selection and the prohibitively expensive computational cost as the number of variables increases. Although the support vector machine (SVM) can be applied to forecast solar radiation, it includes a large number of...
Paper Details
Title
Global horizontal radiation forecast using forward regression on a quadratic kernel support vector machine: Case study of the Tibet Autonomous Region in China
Published Date
Aug 1, 2017
Journal
Volume
133
Pages
270 - 283
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