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- W2044778870 abstract "This paper develops a Gray-Markov model-based approach to predict the municipals water use by combining the greysystem theory and Markov random process theory. The proposed approach uses the prediction curve of the grey dynamicforecast model GM(1, 1) as the datum line of the trend of the city water use. Besides, the Markov prediction approach isapplied to determine the range of the system chance fluctuation, optimize and modify the grey predictive value. Todemonstrate that our system is working correctly, the author used the prediction system to analyze the water data andpredict the volume of water use in the city of Zhuhai at a specific time. The approach can not only effectively discoverthe overall trend of the city water use, but also overcome the influence of the chance fluctuation upon the precision ofprediction. Therefore, the approach is effective in real world." @default.
- W2044778870 created "2016-06-24" @default.
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- W2044778870 date "2009-07-11" @default.
- W2044778870 modified "2023-09-23" @default.
- W2044778870 title "Gray-Markov-model-based prediction and analysis on urban water use" @default.
- W2044778870 doi "https://doi.org/10.1117/12.837206" @default.
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