Title : 
Research on Forecast and Early-warning Model of Energy-Economy-Environment System
         
        
            Author : 
Wang Hui-zhao ; Liu Ke ; Shen Xiao-liu ; Tan Zhong-fu
         
        
            Author_Institution : 
Dept. of Comput. Sci. & Technol., North China Electr. Power Univ., Beijing, China
         
        
        
        
        
        
            Abstract : 
As rapid development of economy and people´s gradually great attention to energy environmental problems, more and more researchers have started researching the relationship between economy, energy and environment, we urgently need methods and models to solve the disagreement between them, and so 3E-based forecast and early-warning models began to emerge, and develop towards high-precision and comprehensive direction as the needs of social development. This paper described and analyzed several key forecast and early-warning models by now, and specifically explored these models´ development trend.
         
        
            Keywords : 
economics; environmental factors; forecasting theory; 3E-based forecast; early-warning model; energy-economy-environment system; social development; Artificial neural networks; Cities and towns; Economic forecasting; Electronic mail; Energy consumption; Load forecasting; Power generation economics; Predictive models; Technology forecasting; Water pollution; 3E; Early-warning Model; Forecast Model;
         
        
        
        
            Conference_Titel : 
Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
         
        
            Conference_Location : 
Hainan Island
         
        
            Print_ISBN : 
978-0-7695-3615-6
         
        
        
            DOI : 
10.1109/JCAI.2009.98