According to the load properties of electric power,four kinds of component forecasting Models ore chosen and a new combination forecasting model based on self-organizing data mining algorithm is introducted in this pa...
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ISBN:
(纸本)9781424410651
According to the load properties of electric power,four kinds of component forecasting Models ore chosen and a new combination forecasting model based on self-organizing data mining algorithm is introducted in this paper The forecasted results of each component forcasting models are used as the input of self-organizing data mining algorithm, and the output are the results Of Combination forecasting. In order to verify , the validity and maneuverability of the model, a load forecasting example is given and the result show that this model can improve the forecasting ability remarkably when comparing to optimal combination forecasting, and artificial neural network combination forecasting.
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