DocumentCode :
2568051
Title :
Meta-synthetic seminar hall for power supply and demand research
Author :
Wen Quan ; Shan Baoguo ; Tan Xiandong ; Zhou Yuanbing ; Hu Zhaoguang
Author_Institution :
State Power Economic Res. Inst. of China, Beijing, China
fYear :
2009
fDate :
11-14 Oct. 2009
Firstpage :
4673
Lastpage :
4676
Abstract :
The complexity and uncertainty of prediction on power supply and demand are analyzed in this paper, and studies the meta-synthesis method of man-computer integration from qualitative analysis to quantitative analysis. The meta-synthetic seminar hall system for power supply and demand research is designed and implemented. The system integrates power economy information, knowledge and experience of experts, computer simulation, and computing capacity. The mode of meta-synthesis from qualitative analysis to quantitative analysis is adopted to construct the intelligent system, which can support research, meeting and decision-making related to power supply and demand. And, the system can support experts to synthetically analyze and evaluate the important data depended by power supply and demand, e.g. policy environment and external condition, and the analytical results. More scientific, reasonable and quantitative scheme for decision-making can be obtained by this system.
Keywords :
decision making; electricity supply industry; load management; power engineering computing; supply and demand; decision-making; intelligent system; man-computer integration; meta-synthetic seminar hall; power demand research; power economy information; power supply research; qualitative analysis; quantitative analysis; Computer simulation; Demand forecasting; Economic forecasting; Environmental economics; Power generation economics; Power supplies; Power system economics; Seminars; Supply and demand; Uncertainty; Meta-synthesis; decision support; power supply and demand;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location :
San Antonio, TX
ISSN :
1062-922X
Print_ISBN :
978-1-4244-2793-2
Electronic_ISBN :
1062-922X
Type :
conf
DOI :
10.1109/ICSMC.2009.5346109
Filename :
5346109
Link To Document :
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