Improving solar energy prediction in complex topography using artificial neural networks: Case study Peninsular Malaysia

Publisher： John Wiley & Sons Inc

E-ISSN： 1944-7450|34|5|1528-1535

ISSN： 1944-7442

Source： ENVIRONMENTAL PROGRESS AND SUSTAINABLE ENERGY, Vol.34, Iss.5, 2015-08, pp. : 1528-1535

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