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
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