Forecasting Short-Term Peak Load Demand in the Libyan Power Grid using Multiple Regression Model

Abdelbaset Ihbal (1) , Abdulwahid khalleefah (2)
(1) Dept. of Electrical and Computer Engineering, School of Applied Science and Engineering, Libyan Academy, Tripoli, Libya ,
(2) Higher Institute of Science and Technology, Alasabaa, Libya

Abstract

The demand for energy, particularly electricity, has been rising rapidly around the world and plays an important role in socio-economic development, especially in developing countries. Electricity load forecasting is a key task in power plant planning, as well as in efficient operation and sustainable growth of modern electricity distribution networks. This is to make Balancing the relationship between electricity demand and supply. The main purpose of this study is to investigate the impact of meteorological factors such as temperature, relative humidity and wind speed on short-term electricity demand forecasts in Libya. A model has been developed by means of multiple regression analysis and trend method techniques. It was found that there is a good correlation between the factors and electricity use. Since the final model exhibits some little deviation, this approach has proven to be helpful for predicting Libya's electricity consumption.  The findings are analyzed and discussed in order to offer recommendations for using this approach for forecasting the short-term demand of electricity.

Full text article

Generated from XML file

Authors

Abdelbaset Ihbal
a.ihbal@acadeny.edu.ly (Primary Contact)
Abdulwahid khalleefah
Ihbal, A., & khalleefah, A. (2023). Forecasting Short-Term Peak Load Demand in the Libyan Power Grid using Multiple Regression Model . Journal of Pure & Applied Sciences, 22(3), 124–128. https://doi.org/10.51984/jopas.v22i3.2759

Article Details

Sustainable Architecture Using Solar Cells in Libya

Ahmad Al-Ajwad, Omar Bilfageh, Manssour Bin Miskeen , Mohamed Wali Sharief
Abstract View : 284
Download :195

Comparison of hybrid models in temperature prediction in the Libyan city of Sirt

Muhammad Baay Mohammed, Abdslam K. Suliman and Nuri Omer. Ali
Abstract View : 157
Download :136

Forecasting for cereal crops import demand to Libya

Ragab mansour elwerfelli, khalefa masoud altome, Manuba Mohamed ben kraem
Abstract View : 170
Download :152