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비전형 잔여 기상 정보를 활용한 하이브리드형 전력 수요 예측 모델 설계

Author
박강구, 송준호, 황의석
Journal Title
정보과학회 컴퓨팅의 실제 논문지
Publication Year
2019
Summary

This study designs a hybrid power demand forecasting model combining linear and nonlinear prediction approaches for complex electricity usage data influenced by meteorological information and human factors, and proposes a method to identify key input variables of the nonlinear model based on random forest. The prediction model considering atypical residue of meteorological information demonstrates improved prediction reliability.

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