Improving solar energy prediction in complex topography using artificial neural networks: Case study Peninsular Malaysia
This research assesses the feasibility of using artificial neural networks (ANN) to predict and improve the spatial distribution of solar radiation data, using Peninsular Malaysia as a case study. This peninsula has seas to the east and west that control cloud formation and rain throughout the year....
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Wiley
2015
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/19488/ http://dx.doi.org/10.1002/ep.12130 |
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