A novel genetic-algorithm-based neural network for short-term load forecasting

Publication Type:
Journal Article
Citation:
IEEE Transactions on Industrial Electronics, 2003, 50 (4), pp. 793 - 799
Issue Date:
2003-08-01
Full metadata record
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.
Please use this identifier to cite or link to this item: