1 |
Yulgok, Time Series Analysis Using SAS/ETS, 2002
|
2 |
SAS Korea, Basic Statistics Analysis
|
3 |
Ministry of Commerce, Industry and Energy Korea Electricity Commission, Restructuring of Electric Power Industry in Korea, Oct. 2001
|
4 |
Amjady, N., ‘Short-term hourly load forecasting using time-series modeling with peak load estimation capability’’, IEEE Tran. on Power Systems, Vol. 16, pp. 798-805, Nov. 2001
|
5 |
M.Y.Cho, J.C.Hwang, C.S.Chen, ‘Customer Short Term Load Forecasting By Using ARIMA Transfer Function Model’, IEEE Proceedings, Vol. 1, pp. 21- 23, Nov. 1995
|
6 |
Jayu Academy, Time Series Analysis, 1994
|
7 |
P.Venkataranman, Applied Optimization with Matlab Programming, John Wiley & Sons, pp. 318-335, 2002
|
8 |
G.E.P.Box, G.M.Jenkins, G.C.Reinsel, Time Series Analysis Forecasting and Control, Third ed
|
9 |
Contreras, J., Espinola, R., Nogales, F.J., Conejo, A.J., ‘ARIMA models to predict next-day electricity prices’, IEEE Trans. on Power Systems, Vol. 18, Issue 3, pp. 1014-1020, Aug. 2003
|
10 |
El Desouky, A.A., Elkateb, M.M., ‘Hybrid adaptive techniques for electric-load forecast using ANN and ARIMA’, IEE Proceedings, Vol. 147, Issue 4, pp. 213-217, July 2000
|
11 |
Amjady, N, ‘Short-term hourly load forecasting using time-series modeling with peak load estimation capability’, IEEE Trans. on Power Systems, Vol. 16, Issue 3, pp. 498-505, Aug. 2001
|