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Power system load forecasting is the basis of power system planning and operation, in order to improve the accuracy of power system load forecasting and ensure the stable operation of power system, a number of related indices must be taken into consideration in the research of power system load forecasting. The tradition principal component analysis is always used to process these indices. In allusion...
In the paper is proposed a new neuro-wavelet based approach for the problem of short term load forecasting. The implemented neuro-wavelet based algorithm combines the potential of two soft computing techniques. The strength over other approaches appeared in literature is that firstly the hourly power load data are wavelet processed and then provided as input to an RNN. The obtained simulation results...
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