A New Regression Model for Short Term Load Forecasting.

Authors

Mohamed Mohamed Tantawy, Associate Professor., Electrical Power & Machines Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.Follow

Corresponding Author

Mohamed Tantawy, Mohamed

Subject Area

Electrical Engineering

Article Type

Original Study

Abstract

This paper presents a suggested regression model for short term load forecasting. The different factors affecting the hourly load demand are analysed and taken into consideration. With special regard to weather sensitive load, a detailed study is made to have the accurate correlation factors between the load and the different weather parameters. An application of the proposed model on actual data bank is made. The length of historical past data used is three months for forecasting the hourly load demand. Comparing the resulted obtained with the actual values, the percentage absolute error given by the proposed model do not exceed 5%. This value of % error issatisfactory and represents high accuracy in forecasting the load domand.

Recommended Citation

Mohamed Tantawy, Mohamed (1977) "A New Regression Model for Short Term Load Forecasting.," Mansoura Engineering Journal: Vol. 2 : Iss. 2 , Article 3.
Available at: https://doi.org/10.21608/bfemu.2021.185481