电子版链接：https://link.springer.com/book/10.1007/978-1-4471-4968-2
所在单位：船舶工程学院
出版单位：Springer
出版地：伦敦
简介：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.
学校署名：哈尔滨工程大学
第一作者：洪维强
著作类别：专著
出版社级别：国外（境外）出版社
学科门类：工学
ISBN号：978-1-44714-967-5
是否译成外文：否
出版日期：2013