Hourly irradiance forecasting for Peninsular Malaysia using dynamic neural network with preprocessed data
Accurate irradiance forecasting is one of the essential factor that helps facilitate the proliferation of grid-connected photovoltaic (GCPV) integration. In Malaysia, this topic has not been substantially explored. This paper attempts to investigate the use of neural network by using data obtained f...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2015
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/59302/ http://dx.doi.org/10.1109/SCOReD.2013.7002570 |
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