Study of the forecasting problem of energy consumption of water pumping station

Abstract

The article describes the study of the energy consumption forecasting of city water pumping station. The review of the existing approaches for technical systems energy consumption forecasting is made. The shot description of the studied object properties including hourly energy consumption is presented. Two often used forecasting methods exponential smoothing and the autoregression of the integrated moving average methods was tested on real data. The results of predict calculations shows that the autoregression of the integrated moving average methods is suitable for energy consumption planning and can be used to submit an hourly bid for the required amount of the electricity in the wholesale market. Directions for future research is also presented.