1 |
Z. Y. Zia and L. Tian, "Short-term power load forecasting based on fuzzy-RBF neural network," in Proceedings of International Conference on Risk Management & Engineering Management, Beijing, 2008, pp. 349-352. http://dx.doi.org/10.1109/ICRMEM.2008.41
DOI
|
2 |
Z. Yun, Z. Quan, S. Caixin, L. Shaolan, L. Yuming, and S. Yang, "RBF neural network and ANFIS-based short-term load forecasting approach in real-time price environment," IEEE Transactions on Power Systems, vol. 23, no. 3, pp. 853-858, Aug. 2008. http://dx.doi.org/10.1109/TPWRS.2008.922249
DOI
ScienceOn
|
3 |
R. Storn and K. Price, "Differential evolution, a simple and efficient heuristic strategy for global optimization over continuous spaces," Journal of Global Optimization, vol. 11, no. 4, pp. 341-359, Dec. 1997. http://dx.doi.org/10.1023/A:1008202821328
DOI
ScienceOn
|
4 |
N. Lu and J. Z. Zhou, "Particle swarm optimization-based RBF neural network load forecasting model," in Proceedings of 2009 Asia-Pacific Power and Energy Engineering Conference, Wuhan, 2009, pp. 1-4. http://dx.doi.org/10.1109/APPEEC.2009.4918588
DOI
|
5 |
M. Ghomi, M. H. Goodarzi, and M. Goodarzi, "Peak load forecasting of electric utilities for west province of IRAN by using neural network without weather information," in Proceedings of 2010 12th International Conference on Computer Modelling and Simulation, Cambridge, 2010, pp. 28-32. http://dx.doi.org/10.1109/UKSIM.2010.14
DOI
|
6 |
M. Rahimbasiri, M. B. Menhaj, and A. R. Kian, "Modeling and forecasting short-term electricity load: a comparison of methods with an application to west Azarbaijan data," in Proceedings of 24nd International Power System Conference, Tehran, 2009, pp. 1-11.
|
7 |
R. E. Abdel-Aal, "Short-term hourly load forecasting using abductive networks," IEEE Transactions on Power Systems, vol. 19, no. 1, pp. 164-173, Feb. 2004. http://dx.doi.org/10.1109/TPWRS.2003.820695
DOI
ScienceOn
|
8 |
A. J. R. Reis and A. P. Alves da Silva, "Feature extraction via multiresolution analysis for shortterm load forecasting," IEEE Transactions on Power Systems, vol. 20, no. 1, pp. 189-198, Feb. 2005. http://dx.doi.org/10.1109/TPWRS.2004.840380
DOI
ScienceOn
|
9 |
S. Fan and L. N. N. Chen, "Short-term load forecasting based on an adaptive hybrid method," IEEE Transactions on Power Systems, vol. 23, no. 1, pp. 392-401, Feb. 2006. http://dx.doi.org/10.1109/TPWRS.2005.860944
DOI
ScienceOn
|
10 |
S. Fan, K. Methaprayoon, and W. J. J. Lee, "Multiregion load forecasting for system with large geographical area," IEEE Transactions on Industry Applications, vol. 45, no. 4, pp. 1452-1459, Jul-Aug. 2009. http://dx.doi.org/10.1109/TIA.2009.2023569
DOI
ScienceOn
|
11 |
S. Tian and L. Tuanjie, "Short-term load forecasting based on RBFNN and QPSO," in Proceedings of 2009 Asia-Pacific Power and Energy Engineering Conference, Wuhan, 2009, pp. 1-4. http://dx.doi.org/10.1109/APPEEC.2009.4918746
DOI
|
12 |
T. Rashid and T. Kechadi, "A practical approach for electricity load forecasting," in Proceedings ofWorld Academy of Science, Engineering and Technology, Rome, 2005, pp. 201-205.
|
13 |
T. Senjyu, P. Mandal, K. K. Uezato, and T. Funabashi, "Next day load curve forecasting using hybrid correction method," IEEE Transactions on Power Systems, vol. 20, no. 1, pp. 102-109, Feb. 2005. http://dx.doi.org/10.1109/TPWRS.2004.831256
DOI
ScienceOn
|
14 |
T. Senjyu, P. Mandal, K. K. Uezato, and T. Funabashi, "Next day load curve forecasting using recurrent neural network structure," IEE Proceedings - Generation, Transmission and Distribution, vol. 151, no. 3, pp. 388-394, May. 2004. http://dx.doi.org/10.1049/ip-gtd:20040356
DOI
ScienceOn
|
15 |
Y. Lu, X. Lin, and W. Qi, "The method of short-term load forecasting based on the RBF neural network," in Proceedings of Cired 2005: 18th International Conference and Exhibition on Electricity Distribution, Turin, 2005, pp. 1-4.
|
16 |
C. L. L. Hor, S. J. Watson, and S. Majithia, "Daily load forecasting and maximum demand estimation using ARIMA and GARCH," in Proceedings of 2006 International Conference on Probabilistic Methods Applied to Power Systems, Stockholm, 2006, pp. 1-6. http://dx.doi.org/10.1109/PMAPS.2006.360237
DOI
|
17 |
A. J. Al-Shareef, E. A. Mohamed, and E. Al-Judaibi, "Next 24-hours load forecasting using artificial neural network for the western area of Saudi Arabia," Journal of King Abdulaziz University: Engineering Science, vol. 19, no. 2, pp. 25-40, 2008. http://dx.doi.org/10.4197/eng.19-2.2
DOI
|
18 |
B. H. Wang, "Short-term electrical load forecasting using neuro-fuzzy model with error compensation," International Journal of Fuzzy Logic and Intelligent Systems, vol. 9, no. 4, pp. 327-332, Dec. 2009.
과학기술학회마을
DOI
ScienceOn
|
19 |
C. Guan, P. B. Luh, M. A. Coolbeth, Y. Zhao, L. D. Michel, Y. Chen, C. J. Manville, P. B. Friedland, and S. J. Rourke, "Very short-term load forecasting: multilevel wavelet neural networks with data pre-filtering," in Proceedings of 2009 IEEE Power & Energy Society General Meeting, Calgary, 2009, pp. 1-8. http://dx.doi.org/10.1109/PES.2009.5275296
DOI
|
20 |
C. Ying, P. B. Luh, C. Guan, Y. Zhao, L. D. Michel, M. A. Coolbeth, P. B. Friedland, and S. J Rourke, "Short-term load forecasting: similar day-based wavelet neural networks," IEEE Transactions on Power Systems, vol. 25, no. 1, pp. 322-330, Feb. 2010. http://dx.doi.org/10.1109/TPWRS.2009.2030426
DOI
ScienceOn
|
21 |
D. K. Ranaweera, N. F. Hubele, and A. D. Papalexopoulos, "Application of radial basis function neural network model for short-term load forecasting," IEE Proceedings - Generation, Transmission and Distribution, vol. 142, no. 1, pp. 45-50, Jan. 1995. http://dx.doi.org/10.1049/ip-gtd:19951602
DOI
ScienceOn
|
22 |
L. M. Saini, "Peak load forecasting using Bayesian regularization, resilient and adaptive backpropagation learning based artificial neural networks," Electric Power Systems Research, vol. 78, no. 7, pp. 1302-1310, Jul. 2008. http://dx.doi.org/10.1016/j.epsr.2007.11.003
DOI
ScienceOn
|
23 |
Y. Zhao, P. B. Luh, C. Bomgardner, and G. H. Beerel, "Short-term load forecasting: multi-level wavelet neural networks with holiday correction," in Proceedings of 2009 IEEE Power & Energy Society General Meeting, Calgary, 2009, pp. 1-7. http://dx.doi.org/10.1109/PES.2009.5275304
DOI
|