Evaluation of Moving Average Pre-processing Approach to Improve the Efficiency of Support Vector Regression Model for Inflow Prediction

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ABBASI MAHDI; ARAGHINEJAD SHAHAB; EBRAHIMI KUMARS

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Journal: Iranian Journal of Soil and Water Research Year:2019 | Volume:50 | Issue:1 Page(s): 247-258

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Information Journal Paper

Title

Evaluation of Moving Average Pre-processing Approach to Improve the Efficiency of Support Vector Regression Model for Inflow Prediction

Author(s)

ABBASI MAHDI | ARAGHINEJAD SHAHAB | EBRAHIMI KUMARS | Issue Writer Certificate

Keywords

Forecasting Time SeriesQ1

Moving AverageQ1

Bakhtiari DamQ2

Rudbar DamQ2

ARMAQ2

Abstract

Accurate hydrological forecasting is a main tool for the water resources planning. In this paper, the inflow rates to Bakhtiari and Rudbar Dams in Lorestan province – IRAN, were forecasted using support vector regression (SVR), Multiple Linear Regression (MLR) and Autoregressive Moving Average (ARMA) models. In order to pre-process the input data for the above mentioned models, the Moving Average approach was used. Furthermore, Nash-Sutcliffe Efficiency (NSE), Root Mean Square Error (RMSE), correlation coefficient (R) and Taylor diagram were used to evaluate the efficiency of the models. The results showed that the Moving Average pre-processing approach improved the performance of the above mentioned models dramatically. For instance, the values of Nash-Sutcliff correspond to SVR hybrid model in forecasting inflow rate to Bakhtiari and Rudbar-Lorestan dams with Moving Average pre-processing were improved by 13. 4% and 6. 6%, respectively, as compared to those in the SVR model without pre-processing.

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APA: Copy

ABBASI, MAHDI, ARAGHINEJAD, SHAHAB, & EBRAHIMI, KUMARS. (2019). Evaluation of Moving Average Pre-processing Approach to Improve the Efficiency of Support Vector Regression Model for Inflow Prediction. IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, 50(1 ), 247-258. SID. https://sid.ir/paper/225582/en

Vancouver: Copy

ABBASI MAHDI, ARAGHINEJAD SHAHAB, EBRAHIMI KUMARS. Evaluation of Moving Average Pre-processing Approach to Improve the Efficiency of Support Vector Regression Model for Inflow Prediction. IRANIAN JOURNAL OF SOIL AND WATER RESEARCH[Internet]. 2019;50(1 ):247-258. Available from: https://sid.ir/paper/225582/en

IEEE: Copy

MAHDI ABBASI, SHAHAB ARAGHINEJAD, and KUMARS EBRAHIMI, “Evaluation of Moving Average Pre-processing Approach to Improve the Efficiency of Support Vector Regression Model for Inflow Prediction,” IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, vol. 50, no. 1 , pp. 247–258, 2019, [Online]. Available: https://sid.ir/paper/225582/en

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