A Hybrid Decomposition Method for Integrating Coal Supply and Demand Models

1982 ◽  
Vol 30 (5) ◽  
pp. 887-906 ◽  
Author(s):  
Jeremy F. Shapiro ◽  
David E. White
2011 ◽  
Vol 217-218 ◽  
pp. 1647-1651
Author(s):  
Ming Ming Wen

It is significance to predict coal production for balancing coal supply and demand in China. The primary goal of this research is the prediction of coal production in china. The method used in the study is known as the BP neural network. The BP neural network is designed with the MATLAB simulation software based on coal production historical data from 1980 to 2007. The studies we have performed showed that the prediction of coal production based on BP neural network is reasonable and valuable. Finally, we get the prediction of coal production from 2010 to 2015, and the prediction indicates that the coal production will increase in the next 5 years.


2004 ◽  
Vol 25 (1) ◽  
pp. 45-48 ◽  
Author(s):  
Vedat Dagdemir ◽  
Okan Demir ◽  
Atilla Keskin

2017 ◽  
Vol 5 (1) ◽  
Author(s):  
Kieron D. Crawley

Background: Successful evaluation capacity development (ECD) at regional, national and institutional levels has been built on a sound understanding of the opportunities and constraints in establishing and sustaining a monitoring and evaluation system. Diagnostics are one of the tools that ECD agents can use to better understand the nature of the ECD environment. Conventional diagnostics have typically focused on issues related to technical capacity and the ‘bridging of the gap’ between evaluation supply and demand. In so doing, they risk overlooking the more subtle organisational and environmental factors that lie outside the conventional diagnostic lens.Method: As a result of programming and dialogue carried out by the Centre for Learning on Evaluation and Results Anglophone Africa engaging with government planners, evaluators, civil society groups and voluntary organisations, the author has developed a modified diagnostic tool that extends the scope of conventional analysis.Results: This article outlines the six-sphere framework that can be used to extend the scope of such diagnostics to include considerations of the political environment, trust and collaboration between key stakeholders and the principles and values that underpin the whole system. The framework employs a graphic device that allows the capture and organisation of structural knowledge relating to the ECD environment.Conclusion: The article describes the framework in relation to other organisational development tools and gives some examples of how it can be used to make sense of the ECD environment. It highlights the potential of the framework to contribute to a more nuanced understanding of the ECD environment using a structured diagnostic approach and to move beyond conventional supply and demand models.


1981 ◽  
Vol 45 (1) ◽  
pp. 52-62 ◽  
Author(s):  
Robert J. Dolan ◽  
Abel P. Jeuland

Recent empirical research shows that supply and demand conditions are typically not stable over time. The evolution of these factors and the firm's ability to impact the evolution have important pricing implications. This paper presents a general methodology for determining the optimal pricing strategy over the product life cycle given evolutionary forces in the environment, and derives the optimal pricing strategy for some well known dynamic models.


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