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References

1 
H. W. Jung, S. Y. Kim, K. B. Song, "Weekly maximum electric load forecasting method for 104 weeks using multiple regression models", Transactions of the Korean Institute of Electrical Engineers, Vol. 63, No. 9, pp. 1186-1191, May 2014DOI
2 
Y. M. Wi, S. K. Joo, K. B. Song, "Holiday load forecasting using fuzzy polynomial regression with weather feature selection and adjustment", IEEE Transactions on Power Systems, Vol. 27, No. 2, pp. 596-603, Dec 2012DOI
3 
Y.M. Wi, K.H. Moon, J.H. Lee, S.K. Joo, K.B. Song, "Load forecasting for the holidays using a polynomial regression incorporating temperature effect", Proc. of KIEE, pp. 29-30, Nov 2007Google Search
4 
KPX, "A Study on Short-term Load Forecasting Technique and Its Application", Nov 2011Google Search
5 
"https://data.kma.go.kr/", Korea Meteorological Administration, Feb 2018Google Search
6 
"The Monthly Report on Major Electric Power Statistics", Korea Electric Power Corporation, April 2018Google Search
7 
D. H. Kang, J. D. Park, S. G. Han, T. S. Kim, H. S. Park, S. M. Choe, "Analysis of relationship between hourly temperature and load", Proc. of KIEE, pp. 15-17, Jul 2015Google Search
8 
K. B. Song, "Development of short-term load forecasting algorithm using hourly temperature", Transactions of the Korean Institute of Electrical Engineers, Vol. 63, No. 4, pp. 451-454, 2014DOI
9 
H. Shin, H. Kim, "Reconstruction of the undersampled photoplethysmogram with various interpolation methods", Transactions of the Korean Institute of Electrical Engineers, Vol. 65, No. 8, pp. 1418-1423, 2016DOI