Abstract
Aiming at monthly load of power system, it is forecasted by using the method of partial least squares regression and the model of improving grey prediction.First, using improved grey prediction model to forecast impact factors,then establishing partial least squares model according to the characteristics of the monthly load and the change of the main impact factors. The final fitted out a linear relation between load and impact factors. Practical example shows that the method has higher prediction accuracy, effectiveandfeasible.
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.
