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Hybrid Intelligent Technologies in Energy Demand Forecasting

Hybrid Intelligent Technologies in Energy Demand Forecasting

Paperback

Business GeneralTechnology & EngineeringGeneral Computers

ISBN10: 303036531X
ISBN13: 9783030365318
Publisher: Springer Nature
Published: Jan 2 2021
Pages: 179
Weight: 0.61
Height: 0.41 Width: 6.14 Depth: 9.21
Language: English

Introduction.- Modeling for Energy Demand Forecasting.- Data Pre-processing Methods.- Hybridizing Meta-heuristic Algorithms with CMM and QCM for SVR's Parameters Determination.- Hybridizing QCM with Dragonfly algorithm to Enrich the Solution Searching Be-haviors.- Phase Space Reconstruction and Recurrence Plot Theory

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