Abstract
Under the new situation, with the continuous advancement of China’s electric power system reform, the production and operation of power grid enterprises have a great impact. Reasonably reducing the daily operation and maintenance cost of enterprise power grid equipment has become an important means to improve the operating efficiency and efficiency level of enterprises. Based on the analysis of the operation and maintenance cost composition of power grid enterprises, this paper constructs the operation and maintenance cost prediction model based on the improved neural network, and verifies that the model has good prediction accuracy through empirical analysis.
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.
