Machine learning methods for solar radiation forecasting: A review

Volume: 105, Pages: 569 - 582
Published: May 1, 2017
Abstract
Forecasting the output power of solar systems is required for the good operation of the power grid or for the optimal management of the energy fluxes occurring into the solar system. Before forecasting the solar systems output, it is essential to focus the prediction on the solar irradiance. The global solar radiation forecasting can be performed by several methods; the two big categories are the cloud imagery combined with physical models, and...
Paper Details
Title
Machine learning methods for solar radiation forecasting: A review
Published Date
May 1, 2017
Volume
105
Pages
569 - 582
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