Hybrid intelligent technologies in energy demand forecasting / Wei-Chang Hong.
2020
HD9502.A2
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Details
Title
Hybrid intelligent technologies in energy demand forecasting / Wei-Chang Hong.
ISBN
9783030365295 (electronic book)
3030365298 (electronic book)
9783030365288
303036528X
3030365298 (electronic book)
9783030365288
303036528X
Publication Details
Cham : Springer, 2020.
Language
English
Description
1 online resource (188 pages)
Item Number
10.1007/978-3-030-36
Call Number
HD9502.A2
Dewey Decimal Classification
333.79
Summary
This book is written for researchers and postgraduates who are interested in developing high-accurate energy demand forecasting models that outperform traditional models by hybridizing intelligent technologies. It covers meta-heuristic algorithms, chaotic mapping mechanism, quantum computing mechanism, recurrent mechanisms, phase space reconstruction, and recurrence plot theory. The book clearly illustrates how these intelligent technologies could be hybridized with those traditional forecasting models. This book provides many figures to deonstrate how these hybrid intelligent technologies are being applied to exceed the limitations of existing models.
Bibliography, etc. Note
Includes bibliographical references.
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Access limited to authorized users.
Source of Description
Description based on print version record.
Available in Other Form
Hybrid Intelligent Technologies in Energy Demand Forecasting
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Table of Contents
Introduction
Modeling for Energy Demand Forecasting
Data Pre-processing Methods
Hybridizing Meta-heuristic Algorithms with CMM and QCM for SVRs Parameters Determination
Hybridizing QCM with Dragonfly algorithm to Enrich the Solution Searching Be-haviors
Phase Space Reconstruction and Recurrence Plot Theory.
Modeling for Energy Demand Forecasting
Data Pre-processing Methods
Hybridizing Meta-heuristic Algorithms with CMM and QCM for SVRs Parameters Determination
Hybridizing QCM with Dragonfly algorithm to Enrich the Solution Searching Be-haviors
Phase Space Reconstruction and Recurrence Plot Theory.