Comparing forecasting performances between multilayer feedforward neural network and recurrent neural network in Malaysia's load

• Main Authors: Mohamed, Norizan, Ahmad, Maizah Hura, Ismail, Zuhaimy, Arshad, Khairil Anuar
• Format: Article
• Published: Taru Publications 2010
• Subjects: Q Science (General)
• Online Access: http://eprints.utm.my/id/eprint/25936/; https://www.researchgate.net/publication/261657532_Comparing_forecasting_performances_between_multilayer_feedforward_neural_network_and_recurrent_neural_network_in_Malaysia%27s_load

This paper presents the use of two artificial neural networks models, namely the multilayer feedforward neural network (MLFF) and the recurrent neural network (RNN) are applied for Malaysia’s load forecasting. For this purpose, a half hourly load data is divided equally into three distinct sets for...