Short Term Load Forecasting For The Electric Power System - Ibrahim, Ahmed
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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…mehr

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Produktbeschreibung
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.
Autorenporträt
Les domaines de recherche du Dr Ahmed Osman Ibrahim sont les suivants : théorie et critique de l'architecture, architecture moderne et contemporaine, locale, régionale et internationale, pédagogie de l'enseignement de l'architecture, patrimoine urbain, attractions touristiques, emploi de matériaux de construction traditionnels dans l'architecture vernaculaire.