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Intelligent Energy Demand Forecasting (Record no. 29236)

000 -LEADER
fixed length control field 02784nam a22004575i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310154015.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130321s2013 xxk| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781447149682
978-1-4471-4968-2
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HD9502-9502.5
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 333.79
Edition number 23
Classification number 338.926
Edition number 23
264 #1 -
-- London :
-- Springer London :
-- Imprint: Springer,
-- 2013.
912 ## -
-- ZDB-2-ENE
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Hong, Wei-Chiang.
Relator term author.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Intelligent Energy Demand Forecasting
Medium [electronic resource] /
Statement of responsibility, etc by Wei-Chiang Hong.
300 ## - PHYSICAL DESCRIPTION
Extent XIII, 189 p. 70 illus.
Other physical details online resource.
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Lecture Notes in Energy,
International Standard Serial Number 2195-1284 ;
Volume number/sequential designation 10
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer simulation.
Topical term or geographic name as entry element Electric engineering.
Topical term or geographic name as entry element Engineering economy.
Topical term or geographic name as entry element Energy.
Topical term or geographic name as entry element Energy Policy, Economics and Management.
Topical term or geographic name as entry element Energy Technology.
Topical term or geographic name as entry element Simulation and Modeling.
Topical term or geographic name as entry element Energy Economics.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781447149675
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4471-4968-2
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-03-29AUM Main Library2014-03-29 2014-03-29 E-Book   AUM Main Library333.79

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