Intelligent Energy Demand Forecasting

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Hong, Wei-Chiang (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Colección:Lecture Notes in Energy, 10
Temas:
Energy policy.
Energy and state.
Electric power production.
Computer simulation.
Energy Policy, Economics and Management.
Electrical Power Engineering.
Mechanical Power Engineering.
Computer Modelling.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 1.Introduction
  • 2.Modeling for Energy Demand Forecasting
  • 3.Evolutionary Algorithms in SVR's Parameters Determination
  • 4.Chaos/Cloud Theories to Avoid Trapping into Local Optimum
  • 5.Recurrent/Seasonal Mechanism to Improve the Accurate Level of Forecasting.

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