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

К. А. Горєлова, В. М. Задачин
Системи обробки інформації. — 2016. — № 1(138). — С. 76-80.
УДК 4.94
Мова статті: англійська
Анотації на мовах:

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.
Ключові слова: water consumption, water supply, forecast, forecasting, time series, model, statistical analysis
Інформація про авторів публікації:
Бібліографічний опис для цитування:
Горєлова К. А. Long-term and medium-term forecasting of water consumption of large cities / К. А. Горєлова, В. М. Задачин  // Системи обробки інформації. — 2016. — № 1. — С. 76-80.