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Short-term electric load forecasting using neural network models

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2 Author(s)
Al-Rashid, Y. ; Dept. of Electr. Eng., Wichita State Univ., KS, USA ; Paarmann, L.D.

Short-term power load forecasting is used to provide utility company management with future information about electric load demand in order to assist them in running more economical and reliable day-to-day operations. An Artificial Neural Network (ANN) approach is used in this paper to construct a 24 hour ahead power load forecasting model for the winter and summer seasons. The proposed ANN models were tested by forecasting the electric load for the Wichita, Kansas, area throughout 1992. Then the forecasted results were compared to the actual load and the performance was evaluated and compared with that of a Time Series, ARMA, model

Published in:

Circuits and Systems, 1996., IEEE 39th Midwest symposium on  (Volume:3 )

Date of Conference:

18-21 Aug 1996

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