Mobile QR Code QR CODE : The Transactions of the Korean Institute of Electrical Engineers


Korea Power Exchange , Nov. 2011, A Study on Short-Term Load Forecasting Technique and its ApplicationGoogle Search
Amjady N., Feb. 2007, Short-Term Bus Load Forecasting of Power System by a New Hybrid Method, IEEE Transaction on Power Systems, Vol. 22, No. 1, pp. 333-341DOI
Khatoon S., Ibraheem , Singh A. K., Priti , Mar. 2015, ANN Based Electric Load Forecasting Applied to Real Time Data, India Conference (INDICON) 2015 Annual IEEEDOI
Moghram I., Rahman S., Oct. 1989, Analysis and Evaluation of Five Short-Term Load Forecasting Techniques, IEEE Transaction on Power System, Vol. 4, No. 4, pp. 1484-1491DOI
Fahad M. U., Arbab N., Oct. 2014, Factor Affecting Short Term Load Forecasting, Journal of Clean Energy Technologies, Vol. 2, No. 4DOI
Korea Meteorological Administration , Oct. 2018,
Korea Meteorological Administration , Oct. 2018,
Kim K. H., Jo S. W., Park R. J., Song K. B., Jul. 2017, The Effect of Small Photovoltaic Power Generations and Illumination Intensity in Short-Term Electric Load Forecasting, Proc. of KIEE, pp. 461-458Google Search
Korea Power Exchange , Sep. 2018, Development of Short Term Load Forecasting Technique in Jeju IslandGoogle Search
Jo S. W., Park R. J., Kim K. H., Kwon B. S., Song K. B., Park J. D., Park H. S., Aug. 2018, Sensitivity Analysis of Temperature on Special Day Electricity Demand in Jeju Island, The Transaction of KIEE, Vol. 67, No. 8, pp. 1019-1023Google Search
Jung H. W., Kim S. Y., Song K. B., Sep. 2014, Weekly Maximum Electric Load Forecasting Method for 104 Weeks Using Multiple Regression Models, The Transaction of KIEE, Vol. 63, No. 9, pp. 1186-1191Google Search
Yoo K. J., Aug. 2008, Overview and Status of Photovoltaic Power System, Korea Institute of Energy ResearchGoogle Search
Ministry of Government Legislation , Jul. 2017, Presidential Decree No. 28394, http://law.go.krGoogle Search
Korea Power Exchange , Aug. 2018, Electricity Market Operation RegulationsGoogle Search
Amasyali K., El-Gohary N. M., 2018, A review of data-driven building energy consumption prediction studies, ELSEVIER Renewable and Sustainable Energy Reviews, Vol. 81, pp. 1192-1205DOI