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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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Hong, Wei-Chiang (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: London : Springer London : Imprint: Springer, 2013.
Edition:1st ed. 2013.
Series:Lecture Notes in Energy, 10
Subjects:
Energy policy.
Energy and state.
Electric power production.
Computer simulation.
Energy Policy, Economics and Management.
Electrical Power Engineering.
Mechanical Power Engineering.
Computer Modelling.
Online Access:Texto Completo
Table of Contents:
  • 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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