Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
