eBook Intelligent Energy Demand Forecasting, 1st Edition

  • Published By:
  • ISBN-10: 1447149688
  • ISBN-13: 9781447149682
  • DDC: 333.79
  • Grade Level Range: College Freshman - College Senior
  • 189 Pages | eBook
  • Original Copyright 2013 | Published/Released May 2014
  • This publication's content originally published in print form: 2013
  • Price:  Sign in for price

About

Overview

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.

Table of Contents

Front Cover.
Other Frontmatter.
Title Page.
Copyright Page.
Dedication Page.
Acknowledgements.
Contents.
1: Introduction.
2: Modeling for Energy Demand Forecasting.
3: Evolutionary Algorithms in SVR’s Parameter Determination.
4: Chaos/Cloud Theories to Avoid Trapping Into Local Optimum.
5: Recurrent/Seasonal Mechanism to Improve the Accurate Level of Forecasting.