The Prediction of Municipal Water Demand in Iraq: A Case Study of Baghdad Governorate
作者： Salah L Zubaidi , Hussein Al-Bugharbee , Yousif Raad Muhsen , Khalid Hashim , Rafid M Alkhaddar
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摘要: Accurate prediction of short-term water demand plays an important role for suppliers as well government's plan. This paper aims to predict a municipal upcoming year based on previous consumption in Baghdad city. We have investigated various signal processing approaches address the noisy time series data consumption, while new methodology has been proposed. would enable us forecast using different windows and multi-stages hybrid univariate singular spectrum analysis autoregressive model (SSA-AR model). First, SSA are utilised analyse clean original from noise. Then, (AR) is employed treated series. In this study, monthly (2006-2015) Al-Wehda treatment plant city, Iraq selected assess model. The findings show that model) can with high accuracy raw data.
sci-hub.se 参考文章(24)
Ahmed J. Aljaaf, Dhiya Al-Jumeily, Abir J. Hussain, Paul Fergus, Mohammed Al-Jumaily, Naeem Radi, A Systematic Comparison and Evaluation of Supervised Machine Learning Classifiers Using Headache Dataset international conference on intelligent computing. pp. 101- 108 ,(2015) , 10.1007/978-3-319-22053-6_12
Ahmed J. Aljaaf, Dhiya Al-Jumeily, Abir J. Hussain, Paul Fergus, Mohammed Al-Jumaily, Khaled Abdel-Aziz, Toward an optimal use of artificial intelligence techniques within a clinical decision support system science and information conference. pp. 548- 554 ,(2015) , 10.1109/SAI.2015.7237196
A. J. Aljaaf, D. Al-Jumeily, A. J. Hussain, T. Dawson, P Fergus, M. Al-Jumaily, Predicting the likelihood of heart failure with a multi level risk assessment using decision tree international conference on technological advances in electrical electronics and computer engineering. pp. 101- 106 ,(2015) , 10.1109/TAEECE.2015.7113608
John Bougadis, Kaz Adamowski, Roman Diduch, Short‐term municipal water demand forecasting Hydrological Processes. ,vol. 19, pp. 137- 148 ,(2005) , 10.1002/HYP.5763
Mahmut Firat, Mustafa Erkan Turan, Mehmet Ali Yurdusev, Comparative analysis of fuzzy inference systems for water consumption time series prediction. Journal of Hydrology. ,vol. 374, pp. 235- 241 ,(2009) , 10.1016/J.JHYDROL.2009.06.013
Muhammad A. Al-Zahrani, Amin Abo-Monasar, Urban Residential Water Demand Prediction Based on Artificial Neural Networks and Time Series Models Water Resources Management. ,vol. 29, pp. 3651- 3662 ,(2015) , 10.1007/S11269-015-1021-Z
Jan Adamowski, Hiu Fung Chan, Shiv O. Prasher, Bogdan Ozga-Zielinski, Anna Sliusarieva, Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand forecasting in Montreal, Canada Water Resources Research. ,vol. 48, ,(2012) , 10.1029/2010WR009945
Jan Franklin Adamowski, Peak Daily Water Demand Forecast Modeling Using Artificial Neural Networks Journal of Water Resources Planning and Management. ,vol. 134, pp. 119- 128 ,(2008) , 10.1061/(ASCE)0733-9496(2008)134:2(119)
M. S. Babel, A. Das Gupta, P. Pradhan, A multivariate econometric approach for domestic water demand modeling: An application to Kathmandu, Nepal Water Resources Management. ,vol. 21, pp. 573- 589 ,(2007) , 10.1007/S11269-006-9030-6
Sadegh Behboudian, Massoud Tabesh, Maliheh Falahnezhad, Farrokh Alavian Ghavanini, A long-term prediction of domestic water demand using preprocessing in artificial neural network Journal of Water Supply Research and Technology-aqua. ,vol. 63, pp. 31- 42 ,(2014) , 10.2166/AQUA.2013.085