Hybrid Intelligent Technologies in Energy Demand Forecasting
Wei-Chiang HongThis 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.
年:
2020
出版:
1st ed. 2020
出版社:
Springer International Publishing
语言:
english
ISBN 10:
3030365298
ISBN 13:
9783030365295
文件:
PDF, 8.71 MB
IPFS:
,
english, 2020
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