Hybrid Intelligent Technologies in Energy Demand Forecasting di Wei-Chiang Hong edito da Springer International Publishing
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Hybrid Intelligent Technologies in Energy Demand Forecasting

EAN:

9783030365288

ISBN:

303036528X

Pagine:
192
Formato:
Hardback
Lingua:
Tedesco
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Descrizione Hybrid Intelligent Technologies in Energy Demand Forecasting

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.

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