Hybrid Intelligent Technologies in Energy Demand Forecasting is popular PDF and ePub book, written by Wei-Chiang Hong in 2020-01-01, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Hybrid Intelligent Technologies in Energy Demand Forecasting can be Read Online from any device for your convenience.
Hybrid Intelligent Technologies in Energy Demand Forecasting Book PDF Summary
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.
Detail Book of Hybrid Intelligent Technologies in Energy Demand Forecasting PDF
- Author : Wei-Chiang Hong
- Release : 01 January 2020
- Publisher : Springer Nature
- ISBN : 9783030365295
- Genre : Business & Economics
- Total Page : 179 pages
- Language : English
- PDF File Size : 10,7 Mb
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