Description: For long-term load forecasting small sample size, the characteristics of many factors, the use of gray correlation screening factors is established based on BP
Neural network algorithm for load forecasting model, the multivariable and historical load variable sequences rolling forecasts, significantly better than the predicted values obtained
Single forecasting methods, and through the Markov process to amend the prediction residuals, the prediction accuracy is greatly improved, empirical studies show that pre-
Method for measuring the value of popularization and application
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BP predict\BP1.m
BP predict
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