| 书目名称 | Intelligent Energy Demand Forecasting | | 编辑 | Wei-Chiang Hong | | 视频video | | | 概述 | Provides more accurate energy demand forecasting by employing novel hybridized evolutionary algorithms and intelligent analytical tools.Illustrates how hybrid evolutionary algorithms and some new appr | | 丛书名称 | Lecture Notes in Energy | | 图书封面 |  | | 描述 | .As industrial, commercial, and residential demands increase and with the rise of privatization and deregulation of the electric energy industry around the world, it is necessary to improve the performance of electric operational management.. Intelligent Energy Demand Forecasting. offers approaches and methods to calculate optimal electric energy allocation to reach equilibrium of the supply and demand.. .Evolutionary algorithms and intelligent analytical tools to improve energy demand forecasting accuracy are explored and explained in relation to existing methods. To provide clearer picture of how these hybridized evolutionary algorithms and intelligent analytical tools are processed, .Intelligent Energy Demand Forecasting. emphasizes on improving the drawbacks of existing algorithms. . .Written for researchers, postgraduates, and lecturers, .Intelligent Energy Demand Forecasting. helps to develop the skills and methods to provide more accurate energy demand forecasting by employing novel hybridized evolutionary algorithms and intelligent analytical tools.. | | 出版日期 | Book 2013 | | 关键词 | Chaos theory; Energy forecasting; Evolutionary algorithms; Short term forecasting; Support vector regres | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4471-4968-2 | | isbn_softcover | 978-1-4471-5930-8 | | isbn_ebook | 978-1-4471-4968-2Series ISSN 2195-1284 Series E-ISSN 2195-1292 | | issn_series | 2195-1284 | | copyright | Springer-Verlag London 2013 |
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发表于 2025-3-21 17:55:25
