Hybrid Intelligent Technologies in Energy Demand Forecasting. (2020)

• Record Type: Book
• Further Information: Note: Wei-Chiang Hong.
• Authors: Hong, Wei-Chiang
• Contents: 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.
• Publisher Details: Cham : Springer
• Publication Date: 2020
• Copyright Date: 2020
• Extent: 1 online resource (179 pages)
• Subjects: Energy; Energy policy; Energy and state; Computational intelligence; Computer simulation; Statistical physics; Renewable energy resources; Technology & Engineering -- Engineering (General); Computers -- Computer Simulation; Science -- Chaotic Behavior in Systems; Technology & Engineering -- Power Resources -- Alternative & Renewable; Artificial intelligence; Computer modelling & simulation; Nonlinear science; Alternative & renewable energy sources & technology; Business & Economics -- Industries -- Energy Industries; Energy technology & engineering
• Languages: English
• ISBNs: 9783030365295
• Related ISBNs: 9783030365288
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.