Short-term load forecasting: Multi-level wavelet neural networks with holiday corrections

2009 IEEE Power and Energy Society General Meeting, PES '09

Volumn , Issue , 2009, Pages

  Zhao, Yige ^a   Luh, Peter B ^a   Bomgardner, Carl ^b   Beerel, Gustav H ^b  

^a UNIVERSITY OF CONNECTICUT   (United States)

^b EnvaPower Inc   (United States)

Author keywords

Correction coefficients; Holiday; Multi level wavelet decomposition; Neural network; Short term load forecasting

Indexed keywords

CORRECTION COEFFICIENTS; HOLIDAY; INDEPENDENT SYSTEM OPERATORS; LIMITED DATA; LOAD PATTERNS; MARKET PARTICIPANTS; MULTI-LEVEL; MULTI-LEVEL WAVELET DECOMPOSITION; NUMERICAL RESULTS; RELIABLE SYSTEMS; SHORT TERM LOAD FORECASTING; WAVELET NEURAL NETWORKS;

ELECTRIC UTILITIES; NEURAL NETWORKS; POTENTIAL ENERGY; POTENTIAL ENERGY SURFACES; POWER TRANSFORMERS; WAVELET DECOMPOSITION;

ELECTRIC LOAD FORECASTING;

EID: 71849090332     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PES.2009.5275304     Document Type: Conference Paper

References (15)

1. C. Sun, J. Song, L. Li and P. Ju, "Implementation of hybrid short-term load forecasting system with analysis of temperature sensitivities," Soft Comput (2008) 12:633-638.
2. ISO New England, "System operation procedures," April 4, 2007, www.isone. com/rules-proceds/operating/sysop/out-sched/sop-outsch-0040-00 10.pdf.
3. J. W. Taylor and R. Buizza, "Neural network load forecasting with weather ensemble predictions," IEEE Transactions on Power Systems, 2002, 17(3): 626 - 632.
4. T. Senjyu, H. Takara; K. Uezato, and T. Funabashi, "One-hour-ahead load forecasting using neural network," IEEE Transactions on Power Systems, 2002, 17(1): 113-118.
5. T. Senjyu, P. Mandal, K. Uezato and T. Funabashi, "Next Day Load Curve Forecasting Using Hybrid Correction Method," IEEE Transactions on Power Systems, Vol. 20, No. 1, February 2005, pp. 102-109.
6. Y. Chen, P. B. Luh and S. J. Rourke, "Short-Term Load Forecasting: Similar Day-Based Wavelet Neural Networks," Proceedings of the Seventh World Congress on Intelligent Control and Automation, Chongqing, China, June, 2008, pp. 3353-3358.
7. G. Strang and T. Nguyen, Wavelets and Filter Banks, Wellesley Cambridge Press, 1997.
8. C. M. Bishop, "Neural Networks for Pattern Recognition," Oxford Univ. Press, Oxford Univ., U.K., 1995.
9. I. Yu, C. Kim and Y. H. Song, "A Novel Short-Term Load Forecasting Technique Using Wavelet Transform Analysis," Electric Power Components and Systems, Vol. 28, No. 6, June, 2000, pp. 537-549.
10. A. J. Rocha Reis and A. P. Alves da Silva, Sr., "Feature Extraction via Multiresolution Analysis for Short-Term Load Forecasting," IEEE Transactions on Power Systems, Vol. 20, No. 1, February 2005, 20(1): 189-198.
11. st ed.. New York: Wiley, 1997, P488-493.
12. "Signal Processing Toolbox," MATLAB Software.
13. M. M. Yi, K. S. Linn, and M. Kyaw, "Implementation of Neural Network Based Electricity Load Forecasting," Proceedings of World Academy of Science, Engineering and Technology, Volume 32 August 2008.
14. K. L. Toe, "Neural Network in Electricity Load Forecasting with Wavelet Decomposition and Temperature Dependency," Thesis of Electrical Engineering, University of Queensland, August 2001.
15. "Wavelet Toolbox," MATLAB Software.