Short-Term Load Forecasting Based On Rbm And Narx Neural Network
INTELLIGENT COMPUTING METHODOLOGIES, ICIC 2018, PT III(2018)
摘要
In recent years, DBN applied to load forecasting as a hot issue has aroused the concern of many scholars at home and abroad. A new method based on RBM and NARX neural network for short-term load forecasting is brought forward in this paper. In order to test the performance of this model, the historical load data of a town in the UK is used. The obtained results are compared with DBN and NARX neural network based on the same dataset. Experimental results show that the proposed method significantly improves the predication accuracy.
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关键词
Short-term load forecasting, Deep belief network, Restricted Boltzmann machine, NARX neural network
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