Abstract
Discusses the use of artificial neural networks to the short term forecasting of loads. In this system there are two types of neural networks. Nonlinear and linear neural networks. The nonlinear neural network is used to capture the highly nonlinear relation between the load and various input parameters. A neural network-based ARMA model is mainly used to capture the load variation over a very short time period. The authors' system can achieve a good accuracy in short term load forecasting.
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