Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Hybrid Advanced Optimization Methods With Evolutionary Computation Techniques In Energy ForecastingISBN13:9783038972860ISBN10:303897286XAuthor:Hong, Wei-Chiang (Guest Editor)Description:More Accurate And Precise Energy Demand Forecasts Are Required When Energy Decisions Are Made In A Competitive Environment Particularly In The Big Data Era, Forecasting Models Are Always Based On A Complex Function Combination, And Energy Data Are Always Complicated Examples Include Seasonality, Cyclicity, Fluctuation, Dynamic Nonlinearity, And So On These Forecasting Models Have Resulted In An Over-Reliance On The Use Of Informal Judgment And Higher Expenses When Lacking The Ability To Determine Data Characteristics And Patterns The Hybridization Of Optimization Methods And Superior Evolutionary Algorithms Can Provide Important Improvements Via Good Parameter Determinations In The Optimization Process, Which Is Of Great Assistance To Actions Taken By Energy Decision-Makers This Book Aimed To Attract Researchers With An Interest In The Research Areas Described Above Specifically, It Sought Contributions To The Development Of Any Hybrid Optimization Methods (E G , Quadratic Programming Techniques, Chaotic Mapping, Fuzzy Inference Theory, Quantum Computing, Etc ) With Advanced Algorithms (E G , Genetic Algorithms, Ant Colony Optimization, Particle Swarm Optimization Algorithm, Etc ) That Have Superior Capabilities Over The Traditional Optimization Approaches To Overcome Some Embedded Drawbacks, And The Application Of These Advanced Hybrid Approaches To Significantly Improve Forecasting Accuracy Binding:Paperback, PaperbackPublisher:MDPI AGPublication Date:2018-10-18Weight:1.19 lbsDimensions:0.68'' H x 9.61'' L x 6.69'' WNumber of Pages:250Language:English
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Location: USA
End Time: 2024-11-05T02:06:05.000Z
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Book Title: Hybrid Advanced Optimization Methods with Evolutionary Computation Techniques in Energy Forecasting
Item Length: 9.6in.
Item Height: 0.7in.
Item Width: 6.7in.
Author: Wei-Chiang Hong
Format: Trade Paperback
Language: English
Topic: General
Publisher: Mdpi A&G
Publication Year: 2018
Genre: Technology & Engineering
Item Weight: 19.1 Oz
Number of Pages: 250 Pages
