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Hybrid Intelligent Technologies in Energy Demand Forecasting (2020 edition)

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Hybrid Intelligent Technologies in Energy Demand Forecasting - Hong, Wei-Chiang
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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 ...

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Hybrid Intelligent Technologies in Energy Demand Forecasting 2021, Springer, Cham

ISBN-13: 9783030365318

2020 edition

Trade paperback

Hybrid Intelligent Technologies in Energy Demand Forecasting 2020, Springer, Cham

ISBN-13: 9783030365288

2020 edition

Hardcover