Power generation forecasting based on ARIMA model
Dongxiao Niu
Abstract
Dongxiao Niu
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%.
OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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)