Neural network application to unit commitment by Gray code

This paper introduces a unit commitment method based on artificial neural network (ANN) in which Gray code is used for encoding. Comparison of Gray code with binary and decimal codes is discussed. The experimental results indicate that the proposed ANN algorithm can significantly reduce the execution time in unit commitment based on binary codes, the decimal code can reduce the computation time of the binary code and the application of Gray code can reduce the coding errors incurred in decimal code.