Short Term Load Forecasting For The Electric Power System

Solving the problem of electric power energy in Egypt using the latest and modern algorithms particle swarm optimization that optimized the error of neural networks to get the most accurate data from the model that helps us in good planning and controlling the electric power in Egypt sector. The proposed model is used to find the accurate forecasting model of the hourly load through an application on Zagazig city – Egypt. Actual record data is used to perform the study. The data given represents the hourly load for four months two months (July- 2011 August- 2011) in the summer season and the other two months (December- 2011 January- 2012) in the winter season.