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  5. Long-term and medium-term forecasting of water consumption of large cities

Long-term and medium-term forecasting of water consumption of large cities

K. Horielova, V. Zadachyn
Системи обробки інформації. — 2016. — № 1(138). – С. 76-80.
UDK 4.94
Article language: english
Annotations languages:


Annotation: The problem of long-term and medium-term forecasting of water consumption of large cities is examined. Existing time series forecasting methods are reviewed. Advantages and disadvantages of autoregressive forecasting models and neural network models are formulated. Vivid example of a long-term and medium-term forecasting of water consumption of large city using ARIMA and neural network methods is presented.


Keywords: water consumption, water supply, forecast, forecasting, time series, model, statistical analysis
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Reference:
Gorєlova, K.A. and Zadachin, V.M. (2016), Long-term and medium-term forecasting of water consumption of large cities, Information Processing Systems, Vol. 1(138), pp. 76-80.