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The load forecasting method usually starts from a single method, we usually improved prediction methods to get the better forecasting accuracy, but this often confined to the application of the method, combination forecasting method can achieve superiority of various methods, the forecast accuracy is higher than single forecasting method. In this paper, we used RBF neural network prediction method...
In order to improve the energy-saving efficiency, a novel heat load prediction method based on radial basis function neural network (RBF NN) and time series crossover is proposed according to the characteristics of heat supply process. The dimension of the input vector in the RBF NN model is established with autocorrelation method. Then the horizontal and vertical prediction models are constructed...
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