2004•Journal of North China Electric Power UniversityRequires access

Power generation forecasting based on ARIMA model

Dongxiao Niu

Open publisher page 2 citations

Abstract

Based on the electricity generation data of China from 1952 to 2001, the ARIMA model is proposed by utilizing the time series theories. According to AIC criterion, parameters of ARIMA model are determined. The electricity generation in the next 5 years is predicted which show that the predict precision error is less than 3%.

About this research paper

What this paper is about

Based on the electricity generation data of China from 1952 to 2001, the ARIMA model is proposed by utilizing the time series theories. According to AIC criterion, parameters of ARIMA model are determined. The electricity generation in the next 5 years is predicted which show that the predict precision error is less than 3%.

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Available abstract

Based on the electricity generation data of China from 1952 to 2001, the ARIMA model is proposed by utilizing the time series theories. According to AIC criterion, parameters of ARIMA model are determined. The electricity generation in the next 5 years is predicted which show that the predict precision error is less than 3%.

Key concepts: Autoregressive integrated moving average, Econometrics, Time series, Electricity generation, Electricity, Series (stratigraphy), Electric power system, Power (physics)

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