Metaheuristics for big data / Clarisse Dhaenens, Laetitia Jourdan
(Computer engineering series. Metaheuristics set ; volume 5)
データ種別 | 電子ブック |
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出版者 | (London ; Hoboken, NJ : London, UK : John Wiley & Sons, Inc) |
出版年 | 2016 |
大きさ | 1 online resource (xvi, 188 pages) |
著者標目 | *Clarisse Dhaenens author |
書誌詳細を非表示
一般注記 | Print version record Optimization and Big Data -- Metaheuristics : A Short Introduction -- Metaheuristics and Parallel Optimization -- Metaheuristics and Clustering -- Metaheuristics and Association Rules -- Metaheuristics and (Supervised) Classification -- On the Use of Metaheuristics for Feature Selection in Classification -- Frameworks This book deals with the management and valuation of energy storage in electric power grids, highlighting the interest of storage systems in grid applications and developing management methodologies based on artificial intelligence tools. The authors highlight the importance of storing electrical energy, in the context of sustainable development, in "smart cities" and "smart transportation", and discuss multiple services that storing electrical energy can bring. Methodological tools are provided to build an energy management system storage following a generic approach. These tools are based on causal formalisms, artificial intelligence and explicit optimization techniques and are presented throughout the book in connection with concrete case studies John Wiley and Sons Wiley Online Library: Complete oBooks HTTP:URL=https://onlinelibrary.wiley.com/doi/book/10.1002/9781119347569 |
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件 名 | LCSH:Mathematical optimization LCSH:Big data CSHF:Optimisation math�ematique CSHF:Donn�ees volumineuses FREE:COMPUTERS -- Computer Engineering 全ての件名で検索 FREE:MATHEMATICS -- Applied 全ての件名で検索 FREE:MATHEMATICS -- Probability & Statistics -- General 全ての件名で検索 FREE:Big data FREE:Mathematical optimization |
分 類 | LCC:QA402.5 DC23:519.6 |
書誌ID | EB00004474 |
ISBN | 9781119347569 |
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