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このアイテムの引用には次の識別子を使用してください: http://hdl.handle.net/10119/3833

タイトル: Framework for Evaluating Sensitivity on Domestic Energy Consumption
著者: Koretsune, Akihiro
Aoki, Shingo
Tsuji, Hiroshi
Jinno, Yukihiro
Mimura, Eiji
キーワード: Evaluation for energy consumption
complex system
what-if analysis
sensitivity analysis
Monte Carlo Simulation
発行日: Nov-2005
出版者: JAIST Press
抄録: This paper presents a framework for evaluating sensitivity on domestic energy consumption and its experimental simulation. Recently, analyzing the domestic energy consumption and comprehending the influence of life environmental changes are required. However, while the monitored data for energy consumption are indispensable for evaluation, it is difficult to collect a volume of samples. Therefore, this paper presents how to generate artificial data from the limited number of sample data. To generate the artificial data, there are two steps: frequency analysis by data segmentation and goodness of fit test for identifying probability distribution. Then the required data are generated according to the probability distribution. Moreover, according to the probability distribution and the frequency of each segment, Monte Carlo simulation for what-if analysis works for sensitive analysis. The example simulation shows how to resolve the complexity and what kinds of analysis are possible.
記述: The original publication is available at JAIST Press http://www.jaist.ac.jp/library/jaist-press/index.html
IFSR 2005 : Proceedings of the First World Congress of the International Federation for Systems Research : The New Roles of Systems Sciences For a Knowledge-based Society : Nov. 14-17, 2043, Kobe, Japan
Symposium 4, Session 2 : Meta-synthesis and Complex Systems Complex Problem Solving (I)
言語: ENG
URI: http://hdl.handle.net/10119/3833
ISBN: 4-903092-02-X
出現コレクション:IFSR 2005

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