A novel genetic-algorithm-based neural network for short-term load forecasting
Ling, S.H.; Leung, F.H.F.; Lam, H.K.; Yim-Shu Lee; Tam, P.K.S.
Industrial Electronics, IEEE Transactions on
Volume 50, Issue 4, Aug. 2003 Page(s): 793 - 799
Digital Object Identifier   10.1109/TIE.2003.814869
Summary: This paper presents a neural network with a novel neuron model. In this model, the neuron has two activation functions and exhibits a node-to-node relationship in the hidden layer. This neural network provides better performance than a traditional feedforward neural network, and fewer hidden nodes are needed. The parameters of the proposed neural network are tuned by a genetic algorithm with arithmetic crossover and nonuniform mutation. Some applications are given to show the merits of the proposed neural network.

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