지지도 벡터 회귀를 사용한 전력 시계열 데이터 예측 = The Prediction of Power Time Series Data by using the Support Vector Regression

다국어 초록 (Multilingual Abstract)

In this paper, we proposed a support vector regression model in order to predict the time series of the power energy consumption. Based on the finding that the time series of the power consumption contained a considerable amount of the non-linear correlation, we adopt the support vector regression as the model for the prediction of the power consumption. By tuning two parameters in the model and performing the cross validation, we demonstrated that the proposed model predicted the power consumption with the relative errors and the average errors in the range of 2%-5% and 3kWh-8kWh, respectively. We also support the validity of the model by analyzing the multi-step forecasting. The results of this study can be used to the energy management system in terms of the effective control of the electric energy.

참고문헌 (Reference)

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