Intelligent Energy Demand Forecasting is popular PDF and ePub book, written by Wei-Chiang Hong in 2013-03-12, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Intelligent Energy Demand Forecasting can be Read Online from any device for your convenience.

Intelligent Energy Demand Forecasting Book PDF Summary

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.

Detail Book of Intelligent Energy Demand Forecasting PDF

Intelligent Energy Demand Forecasting
  • Author : Wei-Chiang Hong
  • Release : 12 March 2013
  • Publisher : Springer Science & Business Media
  • ISBN : 9781447149682
  • Genre : Business & Economics
  • Total Page : 203 pages
  • Language : English
  • PDF File Size : 8,7 Mb

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