1 |
Korea Power Exchange, A Study on the criteria of the electricity demand forecast evaluation and the confidence interval, annual report of 2011.
|
2 |
Kwon, S.H. and Oh, H.S., Forecasting Model for Flood Risk at Bo Region, Journal of Society of Korea Industrial and Systems Engineering, 2014, Vol. 37, No. 1, pp. 91-95.
DOI
|
3 |
Lee, H.R., Park, K.H., and Shin, H.J., Electricity Demand Forecasting based on Machine Learning Algorithms, Korea Academic Association of Business Administration, Proceedings of 2011.
|
4 |
Ministry of Governmen Legislation, Procedure of forecasting power demand, National Law, 2011.
|
5 |
Oh, H.S. and Moon, G.J., A comparison of technological growth models, Journal of the Korea Society for Quality Management, 1994, Vol. 22, No. 2, pp. 51-68.
|
6 |
Park, Y.J. and Wang, B.H., Neuron-Fuzzy Model based Electrical Load Forecasting System : Hourly, Daily, and Weekly Forecasting, Urge and Intelligence System Institute, 2004, Vol, 14, No. 5, pp. 533-538.
DOI
|
7 |
Shin, S.C., Oh, H.S., and Choi, J.H., Price Forecasting of Natural Resources with Restricted Market, Journal of Society of Korea Industrial and Systems Engineering, 2014, Vol. 37, No. 4, pp. 187-191.
DOI
|
8 |
Song, K.B., Development of Short-Term Load Forecasting Algorithm Using Hourly Temperature, The Transactions of the Korean Institute of Electrical Engineers, 2011, Vol. 63, No. 4, pp. 451-454.
|
9 |
Box, E.P., Jenkins, G.M., Repines, G.C., and Lung, G.M., Time Series Analysis : Forecasting and Control(5th ed.), Wiley, 2015.
|
10 |
Chaos, S.Y. and Kim, H.J., Short-term demand forecasting Using Data Mining Method, Journal of the Korean Institute of Illuminating and Electrical Installation Engineers, 2007, Vol. 21, No. 10, pp. 126-133.
DOI
|
11 |
Kim, C.H., Koa, B.G., and Park, J.H., Short-term Electric Load Forecasting Using Data Mining Technique, Journal of Electrical Engineering Technology, 2012, Vol. 7, No. 6, pp. 807-813.
DOI
|
12 |
Jung, H.W. and Song, K.B., Daily Maximum Electric Load Forecasting for the Next 4 Weeks for Power System Maintenance and Operation, The Transactions of The Korean Institute of Electrical Engineers, 2014, Vol. 63, No. 11, pp. 1497-1502.
DOI
|
13 |
Kim, C.H., Forecasting of Domestic Power Demand using Multiple Seasonal Exponential Smoothing Techniques, The annual report of Korea Enright Economics Institute, 2013.
|