Title :
Comparison of Methods Used for Forecasting Solar Radiation
Author :
Sudirman, Rubita ; Ashenayi, Kaveh ; Golbaba, Mostafa
Author_Institution :
Electr. Eng. Dept., Univ. of Tulsa, Tulsa, OK, USA
Abstract :
This paper will present and evaluate a neural network-based approach to predicting solar radiation for a given site. This data is necessary to create valid decisions as to when to use other resources to generate energy in the micro-grid structure proposed for Smart Grid.
Keywords :
neural nets; power system management; smart power grids; solar radiation; neural network; smart grid; solar radiation; Accuracy; Biological neural networks; Forecasting; Mathematical model; Renewable energy resources; Solar radiation; Time series analysis;
Conference_Titel :
Green Technologies Conference, 2012 IEEE
Conference_Location :
Tulsa, OK
Print_ISBN :
978-1-4673-0968-4
Electronic_ISBN :
2166-546X
DOI :
10.1109/GREEN.2012.6200996
