株式会社極東書店トップ ＞ 商品一覧 ＞ Hybrid Intelligent Technologies in Energy Demand Forecasting. 2020 ed.
商品詳細
Hybrid Intelligent Technologies in Energy Demand Forecasting. 2020 ed.
・ISBN 978-3-030-36528-8 hard EUR 99.99
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| 著者・編者 | Hong, Wei-Chiang, |
|---|---|
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2020 |
| ページ数 | 179 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A02-90319＞ |
解説
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.