Title :
Experience with FNN models for medium term power demand predictions
Author :
Doveh, E. ; Feigin, P. ; Greig, D. ; Hyams, L.
fDate :
5/1/1999 12:00:00 AM
Abstract :
The authors relate experience of predicting medium-term load demand for the Israeli power grid using neural network models. A variety of different regularization procedures are used for training and the results are compared. Furthermore, they make suggestions on combining models and selecting input variables
Keywords :
feedforward neural nets; learning (artificial intelligence); load forecasting; power system analysis computing; time series; Israel; computer simulation; input variables selection; medium-term load demand prediction; neural network models; power grid; regularization procedures; training; IEC; Input variables; Load forecasting; Neural networks; Packaging; Power demand; Power grids; Predictive models; Temperature; Turbines;
Journal_Title :
Power Systems, IEEE Transactions on
