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A Study on the Comparison of Electricity Forecasting Models: Korea and China
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 Title & Authors
A Study on the Comparison of Electricity Forecasting Models: Korea and China
Zheng, Xueyan; Kim, Sahm;
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In the 21st century, we now face the serious problems of the enormous consumption of the energy resources. Depending on the power consumption increases, both China and South Korea face a reduction in available resources. This paper considers the regression models and time-series models to compare the performance of the forecasting accuracy based on Mean Absolute Percentage Error (MAPE) in order to forecast the electricity demand accurately on the short-term period (68 months) data in Northeast China and find the relationship with Korea. Among the models the support vector regression (SVR) model shows superior performance than time-series models for the short-term period data and the time-series models show similar results with the SVR model when we use long-term period data.
-support vector regression (-SVR);regression;time series;electricity demand forecasting;mean absolute percentage error (MAPE);
 Cited by
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