Intelligent Energy Demand Forecasting

Released on by Wei-Chiang Hong
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  • Intelligent Energy Demand Forecasting Book Detail

  • Author : Wei-Chiang Hong
  • Release Date : 2013-03-12
  • Publisher : Springer Science & Business Media
  • Genre : Business & Economics
  • Pages : 203
  • ISBN 13 : 1447149688
  • File Size : 95,95 MB
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Intelligent Energy Demand Forecasting by Wei-Chiang Hong PDF Summary

Book 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.

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Intelligent Energy Demand Forecasting

Intelligent Energy Demand Forecasting

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As industrial, commercial, and residential demands increase and with the rise of privatization and deregulation of the electric energy industry around the world