11 July 2009 Gray-Markov-model-based prediction and analysis on urban water use
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Proceedings Volume 7491, PIAGENG 2009: Remote Sensing and Geoscience for Agricultural Engineering; 74910Q (2009); doi: 10.1117/12.837206
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China
Abstract
This paper develops a Gray-Markov model-based approach to predict the municipals water use by combining the grey system theory and Markov random process theory. The proposed approach uses the prediction curve of the grey dynamic forecast model GM(1, 1) as the datum line of the trend of the city water use. Besides, the Markov prediction approach is applied to determine the range of the system chance fluctuation, optimize and modify the grey predictive value. To demonstrate that our system is working correctly, the author used the prediction system to analyze the water data and predict the volume of water use in the city of Zhuhai at a specific time. The approach can not only effectively discover the overall trend of the city water use, but also overcome the influence of the chance fluctuation upon the precision of prediction. Therefore, the approach is effective in real world.
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Yuanbiao Zhang, Jianwen Xie, "Gray-Markov-model-based prediction and analysis on urban water use", Proc. SPIE 7491, PIAGENG 2009: Remote Sensing and Geoscience for Agricultural Engineering, 74910Q (11 July 2009); doi: 10.1117/12.837206; https://doi.org/10.1117/12.837206
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KEYWORDS
Data modeling

Differential equations

Model-based design

Mathematical modeling

Error analysis

Statistical analysis

Dynamical systems

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