Forecasting production of clean energy using cognitive mapping and artificial neural networks

被引：0
作者：
Wang, Miao [1 ]
Peiyu, Ren [1 ]
机构：
[1] Buisness School, Sichuan University, Chengdu
来源：
Information Technology Journal | 2013年 / 12卷 / 20期
关键词：
Artificial neural networks; Clean energy; Cognitive mapping; Forecasting;
D O I：
10.3923/itj.2013.5791.5798
中图分类号：
TU19 [建筑勘测]; TV22 [水工勘测水工设计];
学科分类号：
0814 ; 081503 ;
摘要：
Clean Energy has become the focus of interest for the manufacturing industries with the evolution of technologies to allow co-production. Researches give evidences for multiple enablers of producing this never-ending resource in addition to the geographical conditions. The aim of this study is to develop an Artificial Neural Network forecasting model for the production of clean energy based on the factors determined by causal maps. The framework is initially tested in geographical, economical and technological conditions of China. Since the holonomy of national, regional and individual company requirements are considered in the study, the model achievements are adoptable for any size of clean energy production needs. © 2013 Asian Network for Scientific Information.
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收藏
页码：5791 / 5798
页数：7
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