Hourly irradiance forecasting for Peninsular Malaysia using dynamic neural network with preprocessed data

• Main Authors: Baharin, K. A., Rahman, H. A., Hassan, M. Y., Kim, G. C.
• Format: Conference or Workshop Item
• Published: 2015
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/59302/; http://dx.doi.org/10.1109/SCOReD.2013.7002570

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...