Téléchargez le livre : Intelligent Energy Demand Forecasting

Intelligent Energy Demand Forecasting

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Éditeur :

Springer


Collection :

Lecture Notes in Energy

Paru le : 2013-03-12

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Description

As industrial, commercial, and residential demands increase and with the rise of privatization and deregulation of the electric energy industry around the world, it is necessary to improve the performance of electric operational management. Intelligent Energy Demand Forecasting offers approaches and methods to calculate optimal electric energy allocation to reach equilibrium of the supply and demand.
 
Evolutionary algorithms and intelligent analytical tools to improve energy demand forecasting accuracy are explored and explained in relation to existing methods. To provide clearer picture of how these hybridized evolutionary algorithms and intelligent analytical tools are processed, Intelligent Energy Demand Forecasting emphasizes on improving the drawbacks of existing algorithms.
 
Written for researchers, postgraduates, and lecturers, Intelligent Energy Demand Forecasting helps to develop the skills and methods to provide more accurate energy demand forecasting by employing novel hybridized evolutionary algorithms and intelligent analytical tools.
Pages
189 pages
Collection
Lecture Notes in Energy
Parution
2013-03-12
Marque
Springer
EAN papier
9781447149675
EAN EPUB
9781447149682
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
18
Taille du fichier
1731 Ko
Prix
94,94 €

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