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Hybrid Intelligent Technologies In Energy Demand Forecasting 1st Ed 2020 Weichiang Hong

  • SKU: BELL-10801712
Hybrid Intelligent Technologies In Energy Demand Forecasting 1st Ed 2020 Weichiang Hong
$ 31.00 $ 45.00 (-31%)

4.8

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Hybrid Intelligent Technologies In Energy Demand Forecasting 1st Ed 2020 Weichiang Hong instant download after payment.

Publisher: Springer International Publishing
File Extension: PDF
File size: 8.71 MB
Author: Wei-Chiang Hong
ISBN: 9783030365288, 9783030365295, 303036528X, 3030365298
Language: English
Year: 2020
Edition: 1st ed. 2020

Product desciption

Hybrid Intelligent Technologies In Energy Demand Forecasting 1st Ed 2020 Weichiang Hong by Wei-chiang Hong 9783030365288, 9783030365295, 303036528X, 3030365298 instant download after payment.

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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