Abstract
Electrical Load prediction model for power distribution network becomes necessary as a result of fast increase in the demand for electricity for residential and industrial usage. This work developed a short-term model for an 11-KV feeder that supplied a particular area. The model was based on the multiple linear regression principle that used the past data of the feeder line. The model was used to predict the consumers’ load demand for a period of 1 week. The result of the regression analysis gave a Mean Absolute Percentage Error (MAPE) of forecast of 0.9% for the 11-KV feeder. Conclusively, the accuracy of the developed load forecast model was 99.1%.
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 callMore From: International Journal of Circuit, Computing and Networking
Disclaimer: 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.
