9786133991644

Short Term Load Forecasting For The Electric Power System

Ahmed Ibrahim
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ISBN-13:

978-613-3-99164-4

ISBN-10:
613399164X
EAN:
9786133991644
Book language:
English
Blurb/Shorttext:
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.
Publishing house:
LAP LAMBERT Academic Publishing
Website:
https://www.lap-publishing.com/
By (author) :
Ahmed Ibrahim
Number of pages:
172
Published on:
2017-12-18
Stock:
Available
Category:
Electricity, magnetism, optics
Price:
64.90 €
Keywords:
Short Term Load Forecasting, BP neural networks, particle swarm optimization

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