A Study and Apply on Model System of Short term Load Forecasting

Shi Quansheng

Systems Engineering - Theory & Practice ›› 1996, Vol. 16 ›› Issue (7) : 99-105.

PDF(433 KB)
PDF(433 KB)
Systems Engineering - Theory & Practice ›› 1996, Vol. 16 ›› Issue (7) : 99-105. DOI: 10.12011/1000-6788(1996)7-99
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A Study and Apply on Model System of Short term Load Forecasting

  • Shi Quansheng
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Abstract

In view of the non-stationarity and periodically of electric load, the auther first sets up the grey model or adjustable grey model for the analysis of the load trend. By comparing grey model values with the original ones, the auther gets a series of errors,then by means of the secondary data, the auther further applies autoregressive model, fourier model or artificial neural network model to the adaptability modification of the errors resulting from the grey model. Taking as an example show that these methods is efficient. The forecasting accuracy is more accurate than that of conventional methods.

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fourier model / artificial neural network modelcombinational model

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Shi Quansheng . A Study and Apply on Model System of Short term Load Forecasting. Systems Engineering - Theory & Practice, 1996, 16(7): 99-105 https://doi.org/10.12011/1000-6788(1996)7-99
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