A Novel Genetic-Algorithm-Based Neural Network for Short-Term Load Forecasting

S. Ling, F.H.F. Leung, H.K. Lam, Y.S. Lee, P.K.S. Tam

    Research output: Contribution to journalArticle

    99 Citations (Scopus)

    Abstract

    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.
    Original languageEnglish
    Pages (from-to)793-799
    JournalIEEE Transactions on Industrial Electronics
    Volume50
    Issue number4
    DOIs
    Publication statusPublished - 2003

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