KPX, Feb. 2015., Development of Real-Time Load Forecasting Technique and A Study on On-Line Load Forecasting Scheme

Kyong-Hwan Kim, Se-Won Jo, Rae-Jun Park, Kyuong-Bin Song, Jul. 2017, The Effect of Small Photovoltaic Power Generations and Illumination Intensity in Short-Term Electric Load Fore- casting, The Transactions of the Korean Institute of Electrical Engineers, pp. 461-462

Mee Kyeong Kim, Chul Eui Hong, 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, No. 1, pp. 71-78

Ervin Ceperic, Vladimir Ceperic, Adrijan Baric, Nov. 2013, A Strategy for Short-Term Load Forecasting by Support Vector Regression Machines, IEEE Transactions on Power Systems, Vol. 28

B. J. Chen, M. W. Chang, C. J. Lin, Nov. 2004, Load forecasting using support vector machines: A study on EUNITE competi- tion 2001, IEEE Transactions Power System, Vol. 19, No. 4, pp. 1821-1830

B. E. Turkay, D. Demren, 2011, Electrical load forecasting using support vector machines, (ELECO) In 7th international conference on Electrical and Electronics Engineering, pp. 49-53

Jong-Hun Lim, Si-Yeon Kim, Jeong-Do Park, Kyung-Bin Song, Jun. 2013, Representative Temperature Assessment for Improvement of Short-Term Load Forecasting Accuracy, Journal of the Korean Institute of Illuminating and Electrical Installation Engineer, Vol. 27, No. 6, pp. 39-43

Korea Power Exchange, 2015, Development of Real-Time Load Forecasting Technique and A Study on On-Line Load Fore- casting Scheme

Korea Power Exchange, 2011, A Study on Short-term Load Fore- casting Technique and its Application

Kyeong-Hwan Kim, Rae-Jun Park, Se-Won Jo, Kyung-Bin Song, 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, No. 12, pp. 113-119