BP neural network with rough set for short term load forecasting

Expert Systems with Applications

Volumn 36, Issue 1, 2009, Pages 273-279

  Xiao, Zhi ^a   Ye, Shi Jie ^a   Zhong, Bo ^a   Sun, Cai Xin ^a  

^a CHONGQING UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; ELECTRIC POWER SYSTEMS; ELECTRIC POWER TRANSMISSION NETWORKS; FORECASTING; FUZZY SETS; IMAGE CLASSIFICATION; NETWORK MANAGEMENT; NETWORK PROTOCOLS; NEURAL NETWORKS; POWER TRANSMISSION; ROUGH SET THEORY; SENSOR NETWORKS; SET THEORY; TIME SERIES ANALYSIS;

ATTRIBUTE REDUCTION; BACK PROPAGATION NEURAL NETWORK; BP NETWORKS; BP NEURAL NETWORKS; ELECTRIC ENERGIES; LOAD-TIME SERIES; NOISE DATA; NON-LINEAR FACTORS; POWER SYSTEMS; ROUGH SETS; SHORT TERM LOAD FORECASTING; VARIABLE PRECISIONS;

ELECTRIC LOAD FORECASTING;

EID: 53849110638     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2007.09.031     Document Type: Article

References (15)

1. Al-Kandari A.M., Soliman S.A., and El-Hawary M.E. Fuzzy short-term electric load forecasting. International Journal of Electrical Power and Energy Systems 26 2 (2004) 111-122
2. Carpinteiro O.A.S., Reis A.J.R., and da Silva A.P.A. A hierarchical neural model in short-term load forecasting. Applied Soft Computing 4 4 (2004) 405-412
3. Gao J., Sun H.-B., and Tang G.-Q. Application of optimal combined forecasting based on fuzzy synthetic evaluation on power load forecast. Journal of Systems Engineering 16 2 (2001) 106-110
4. Hong T.-P., Tseng L.-H., and Wang S.-L. Learning rules from incomplete training examples by rough set. Expert Systems with Applications 22 4 (2002) 285-293
5. Kodogiannis V.S., and Anagnostakis E.M. Soft computing based techniques for short-term load forecasting. Fuzzy Sets and Systems 128 3 (2002) 413-426
6. Liao G.-C., and Tsao T.-P. Application of fuzzy neural networks and artificial intelligence for load forecasting. Electric Power Systems Research 70 3 (2004) 237-244
7. Pai P.-F., and Hong W.-C. Forecasting regional electricity load based on recurrent support vector machines with genetic algorithms. Electric Power Systems Research 74 3 (2005) 417-425
8. Pai P.-F., and Hong W.-C. Support vector machines with simulated annealing algorithms in electricity load forecasting. Energy Conversion and Management 46 17 (2005) 2669-2688
9. Rady E.A., Kozae A.M., and Abd El-Monsef M.M.E. Generalized rough sets. Chaos, Solitons & Fractals 21 1 (2004) 49-53
10. Satish B., Swarup K.S., Srinivas S., and Rao A.H. Effect of temperature on short term load forecasting using an integrated ANN. Electric Power Systems Research 72 1 (2004) 95-101
11. Topallia A.K., and Erkmenb I. A hybrid learning for neural networks applied to short term load forecasting. Neurocomputing 51 (2003) 495-500
12. Yao S.J., Song Y.H., Zhang L.Z., and Cheng X.Y. Wavelet transform and neural networks for short-term electrical load forecasting. Energy Conversion and Management 41 18 (2000) 1975-1988
13. Zhang D.-h., Bi Y.-Q., Bi Y.-X., Bi Y.-M., Niu Z.-S., and Luo L.-N. Power load forecasting method base on serial grey neural network. Theory and Practice on Sysytem Engineering 12 1 (2004) 128-132
14. Zhang B.-L., and Dong Z.-Y. An adaptive neural-wavelet model for short term load forecasting. Electric Power Systems Research 59 2 (2001) 121-129
15. Zhao H.-q. The application to power load forecasting of an optimization combinatorial prediction modal. Operation Research and Management Science 14 1 (2005) 115-118