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References

1 
Korea Power Exchange, Dec. 2017, The 8th Basic Plan for Long-term Electricity Supply and DemandGoogle Search
2 
Seong-Ho Ryu, 2014, Improving Accuracy of Electric Load Forecasting in Summer 2014, Journal of Electrical World, no. 451, pp. 66-72DOI
3 
Mee-kyeong Kim, Jan 2016, The Artificial Neural Network based Electric Power Demand Forecast using a Season and Weather Informations, Journal of The Institute of Electronics and Information Engineers, Vol. 53, pp. 71-78DOI
4 
Kunjin Chen, Jul 2019, Short-Term Load Forecasting With Deep Residual Networks, IEEE Transactions on Smart Grid, Vol. 10, No. 4, pp. 3943-3952DOI
5 
E. Ceperic, V. Ceperic, A. Baric, Nov 2013, A Strategy for Short-Term Load Forecasting by Support Vector Regression Machines, IEEE Transaction on Power Systems, Vol. 28, No. 4, pp. 4356-4364DOI
6 
Oh-Sung Kwon, Nov 2010, Coefficient selection technique of exponential smoothing model for weekday load forecasting, in Proc. of KIEE Conference, pp. 295-296Google Search
7 
Kyung-Bin Song, Oct 2004, An Algorithm of Short-Term Load Forecasting, The Transactions of the Korean Institute of Electrical Engineers, Vol. 53a, pp. 529-535Google Search
8 
N. Amjady, F. Keynia, Jan 2009, Short-term load forecasting of power systems by combination of wavelet transform and neuro-evolutionary algorithm, Energy, Vol. 34, No. 1, pp. 46-57DOI
9 
Korea Electric Power Corporation, Dec 2015, Development of Integrated Demand Management Portal Based on Demand ForecastingGoogle Search
10 
Korea Electric Power Corporation, 2018, Electrical Supply Terms and Conditions, http://cyber.kepco.co.krGoogle Search
11 
Dae-Won Chung, Apr 2017, Short-Term Load Forecast in Microgrids using Artificial Neural Networks, The Korean Institute of Electrical Engineers, Vol. 66, No. 4, pp. 621-628DOI
12 
Korea Electric Power Corporation, Nov 2011, A Study on Short-term Load Forecasting Technique and its ApplicationGoogle Search
13 
B. Ratner, Jun 2009, The correlation coefficient: Its values range between +1/−1, or do they?, Journal of Targeting, Measurement and Analysis for Marketing, Vol. 17, No. 2, pp. 139-142DOI
14 
Sang-Lim Lee, 2013, The estimation of weather risk in electric market, Korea Energy Economic InstituteGoogle Search
15 
Kyeong-Hwan Kim, Dec 2017, 24-Hour Load Forecasting Algorithm Using Artificial Neural Network in Summer Weekdays, Journal of the Korean Institute of Illuminating and Electrical Installation Engineers, Vol. 31, pp. 113-119Google Search
16 
Jung-Hwan Kim, Jun 2019, Short-Term Electric Load Forecasting Using Sensitivity By Temperature In Summer Weekdays, in Proc. fof IEE Conference, pp. 351-352Google Search
17 
Jeong-Do Park, Apr 2013, Short-Term Load Forecast for Summer Special Light-Load Period, The Transactions of the Korean Institute of Electrical Engineers, Vol. 62, No. 4, pp. 482-488DOI
18 
Korea Meteorological Administration, https://data.kma.go.kr/Google Search