1 |
J. H. Park, Y. M. Park, K. Y. Lee, “Composite Modeling for Adaptive Short-term Load Forecasting”, IEEE Transactions on Power Systems, vol. 6, no. 2, pp. 450-457, May, 1991.
DOI
ScienceOn
|
2 |
Amjady. N, “Short-term hourly load forecasting using time-series modeling with peak load estimation capability”, IEEE Transactions on Power systems, Vol. 16, no. 3, 2001, pp. 498-505
|
3 |
Shyh-Jier Huang, Kuang-Rong Shih, “Short-term load forecasting via ARMA model identification includ-ing non-Gaussian process considerations”, IEEE Transactions on Power Systems, vol. 18, no. 2, pp. 673-679, May 2003.
DOI
ScienceOn
|
4 |
D. Singh and S. P. Singh, “A self selecting neural network for short-term load forecasting,” Electric Power Component System, vol. 29, pp. 117-130, 2001.
DOI
|
5 |
D. K. Ranaweera, N. F. Hubele, and G. G. Karady, “Fuzzy logic for short-term load forecasting,” Electric Power Energy System, vol. 18, no. 4, pp. 215-222, 1996.
DOI
ScienceOn
|
6 |
D. Srinivasan, A. C. Liow, and C. S. Chang, “Forecasting daily load curves using a hybrid fuzzy neural approach”, IEE Proceedings Generation Transmission Distribution, vol. 141, no. 6, pp. 561-567, Nov. 1994.
DOI
ScienceOn
|
7 |
A.A El Desouky, Elkateb.M.M, “Hybrid adaptive techniques for electric-load forecast using ANN and ARIMA” Generation, Transmission and Distribution, IEE Proceedings, vol.147, no.4, pp.213-217, 2000.
DOI
ScienceOn
|
8 |
Dai-Zheng Huang, Ren-Xi Gong, Shu Gong, ”Prediction of Wind Power by Chaos , BP Artificial Neural Networks Approach Based on Genetic Algorithm” Journal of Electrical Engineering & Technology, vol.10, no.1, pp.41-46, Jan., 2015
DOI
ScienceOn
|
9 |
Agnaldo J.Rocha Reis, Alexandre P.Alves da Silva, “Feature Extraction via Multiresolution Analysis for Short-term Load Forecasting”, IEEE Transactions on Power Systems, vol. 20, no. 1, Feb. 2005
|
10 |
Ajay Shekhar Pandey, Devender Singh, Sunil Kumar Sinha, “Intelligent Hybrid Wavelet Models for Short-Term Load Forecasting”, IEEE Transactions on Power Systems, vol. 25, no. 3, pp. 1266-1273, Aug., 2010
DOI
ScienceOn
|
11 |
Yanqju Bi, Jianguo Zhao, Dahai Zhang, "Power Load Forecasting Algorithm Based on Wavelet Packet Analysis", Power System Technology - POWERCON, vol. 1, pp. 987-990
|
12 |
Aiyun Zheng, Weimin Liu, Fanggeng Zhao, “Double Trends Time Series Forecasting Using a Combined ARIMA and GMDH Model” Control and Decision Conference (CCDC), 2010 Chinese, pp. 1820-1824, May. 2010
|
13 |
Ehab. E. Elattar, John Yannis Goulermas, “Generalized Locally Weighted GMDH for Short Term Load Forecasting”, IEEE Transactions on Systems, Man and Cybernetics-part C: Applications and Reviews, Vol. 42, no. 3, pp. 345-356, May 2012
DOI
ScienceOn
|
14 |
Henrique Steinherz Hippert, Carlos Eduardo Pedreira, Reinaldo Castro Souza, “Neural Networks for Short-Term Load Forecasting:A Review and Evaluation” IEEE Transactions on Power Systems, vol. 16, no. 1, pp. 44-55, Feb. 2001
DOI
ScienceOn
|
15 |
U. S. Department of Energy, "Energy policy Act of 2005," section 1252, Feb. 2006.
|