Title :
An adaptive neural network approach in load forecasting in a power system
Author :
Dillon, T.S. ; Sestito, S. ; Leung, S.
Author_Institution :
Dept. of Comput. Sci., La Trobe Univ., Bundoora, Vic., Australia
Abstract :
The authors present a method of short term load forecasting using a neural network. A three layered feedforward adaptive neural network, trained by back-propagation, is used. This method is applied to real data from a power system and comparative results with other methods are given
Keywords :
backpropagation; load forecasting; neural nets; power engineering computing; adaptive neural network; back-propagation; load forecasting; power system; Adaptive systems; Computer science; Intelligent networks; Laboratories; Load forecasting; Multi-layer neural network; Neural networks; Power system modeling; Power systems; Weather forecasting;
Conference_Titel :
Neural Networks to Power Systems, 1991., Proceedings of the First International Forum on Applications of
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-0065-3
DOI :
10.1109/ANN.1991.213490
