Hybrid Intelligent Technologies in Energy Demand Forecasting [E-Book] / by Wei-Chiang Hong.
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 mechani...
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Full text |
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Personal Name(s): | Hong, Wei-Chiang, author |
Edition: |
1st edition 2020. |
Imprint: |
Cham :
Springer,
2020
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Physical Description: |
XII, 179 pages 60 illustrations, 51 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783030365295 |
DOI: |
10.1007/978-3-030-36529-5 |
Subject (LOC): |
- Introduction
- Modeling for Energy Demand Forecasting
- Data Pre-processing Methods
- Hybridizing Meta-heuristic Algorithms with CMM and QCM for SVR's Parameters Determination
- Hybridizing QCM with Dragonfly algorithm to Enrich the Solution Searching Be-haviors
- Phase Space Reconstruction and Recurrence Plot Theory .