Very short-term load forecasting: Multilevel wavelet neural networks with data pre-filtering

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

Volumn , Issue , 2009, Pages

  Guan, Che ^a   Luh, Peter B ^a   Coolbeth, Matthew A ^b   Zhao, Yige ^a   Michel, Laurent D ^b   Chen, Ying ^a   Manville, Claude J ^b   Friedland, Peter B ^c   Rourke, Stephen J ^c  

^a UNIVERSITY OF CONNECTICUT   (United States)

^b University of Connecticut   (United States)

^c ISO New England   (United States)

Author keywords

Multilevel wavelet decomposition; Neural networks; Pre filtering; Very short term load forecasting

Indexed keywords

FREQUENCY COMPONENTS; MULTILEVEL WAVELET DECOMPOSITION; NUMERICAL TESTING; PRE-FILTERING; REAL-TIME DATA; RESOURCE DISPATCH; SHORT TERM LOAD FORECASTING; WAVELET NEURAL NETWORKS; WAVELET TECHNIQUES;

NEURAL NETWORKS; POTENTIAL ENERGY; POTENTIAL ENERGY SURFACES; WAVELET DECOMPOSITION; WIRELESS SENSOR NETWORKS;

ELECTRIC LOAD FORECASTING;

EID: 71949083567     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PES.2009.5275296     Document Type: Conference Paper

References (23)

1. F. Wang, K. Xie, E. K. Yu, G. Q. Liu and M. Y. Wang, "A Simple and Effective Ultra Short Term Load Forecasting Method," Power System Technology, 1996, 20(3):41-43,48.
2. D. S. Luo and H. Y. He, "A Shape Similarity Criterion Based Curve Fitting Algorithm and Its Application in Ultra-Short-Term Load Forecasting," Power System Technology, 2007, 31(21):81-84.
3. J. Y. Zhou, B. M. Zhang, J. C. Shang, J. Yao and M, Cheng, "Very Short Term Load Forecast Based on Multi-sample Extrapolation and Error analysis," Electric Power Automation Equipment, 2005, 25(2):17-21.
4. Z. L. Yang, G. Q. Tang, Y. M. Song and R. Z. Cao, "Improved Cluster Analysis Based Ultra-short Term Load Forecasting Method," Automation of Electric Power System, 2005, 29(24):83-86.
5. K. Liu, S. Subbarayan, R. R. Shoults, M. T. Manry, C. Kwan, F. L. Lewis and J. Naccarino, "Comparison of Very Short-Term Load Forecasting Techniques," IEEE Transaction on Power Systems, 1996, 11(2): 877-882.
6. J. C. Lu, X. P. Zhang and W. Sun, "A Real-time Adaptive Forecasting Algorithm for Electric Power Load," 2005 IEEE/PES Transmission and Distribution Conference & Exhibition, 2005, China.
7. H. Y. Yang, H. Ye, G. Wang, J. Khan and T. Hu, "Fuzzy Neural Very Short term Load Forecasting Based on Chaotic Dynamics Reconstruction," Chaos, Solitons and Fractals, 2006 29(2): 462-469.
8. S. Kawauchi, H. Sugiharra and H. Sasaki, "Development of Very-Short-Term Load Forecasting Based on Chaos Theory," Electrical Engineering in Japan, 2004, 148(2):646:653.
9. K. Xie, F. Wang, and E. K. Yu, "Very Short-Term Load Forecasting by Kalman Filter Algorithm," Proceedings of the CSEE, 1996, 16(4):245-249.
10. D. J. Trudnowski and W. L. Mcreynolds, "Real-Time Very Short-Term Load Prediction for Power-System Automatic Generation Control," IEEE Transaction on Power Systems, 2001, 9(2), 2001:254-260.
11. W. Charytoniuk and M. S. Chen, "Very Short-Term Load Forecasting Using Artificial Neural Networks," IEEE Transaction on Power Systems, 2000, 15(1):263-268.
12. H. Daneshi and A.Daneshi, "Real Time Load Forecast in Power System," 3rd International Conference on Deregulation and Restructuring and Power Technologies, DRPT 2008, 4523494: 689-695.
13. P. Shamsollahi, K. W. Cheung, Q. Chen and E. H. Germain, "A Neural Network Based Very Short Term Load Forecaster for the Interim ISO New England Electricity Market System," IEEE Power Industry Computer Applications Conference, 2001, 217-222.
14. L. Dichen, Q. Xiaoman, Z. Lin and H. Sheng, "Research of Adaptive Computation of Very Short-term Load Forecast in VQC," Transmission and Distribution Conference & Exhibition: Asia and Pacific, 2005 IEEE/PES, Aug 2005, China.
15. J. H. Chow, F. F. Wu and J. A. Momoh, Applied Mathematics for Restructured Electric Power Systems, Springer, 2005, 270-285.
16. H. K. Alfares and M. Nazeeruddin, "Electric Load Forecasting: Literature Survey and Classification of Methods," International Journal of System Science, 2002, 33 (1): 23-34.
17. X. F. Li, E. Zou and T. S. Zhang, "Optimization design of Feed-forward Neural Network Structure based on Chaos Wariables," Control and Decision, 2003, 18 (6): 703-707.
18. F. Zhao; H. S. Su, "Short-Term Load Forecasting Using Kalman Filter and Elman Neural Network," 2007 Second IEEE Conference on Industrial Electronics and Applications, 2007,1043-1047.
19. ISO New England, "System Operation Procedures." April 4, 2007, www.isone. com/rules-proceds/operating/sysop/out-sched/sop-outsch-0040-0010.p df.
20. Y. Chen, P. B. Luh, C. Guan, Y. G. Zhao, L. D. Michel, M. A. Coolbeth, P. B. Friendland and S. J. Rourke, "Short-term Load Forecasting: Similar Day-based Wavelet Neural Networks," IEEE Transaction on Power Systems, 2008, submitted.
21. S. K. Mitra, "Digital Signal Processing: A Computer-Based Approach, Third edition" McGraw-Hill Companies, Inc., New York, 2007.
22. S. G. Mallat, "A theory for multiresolution signal decomposition-the wavlet representation," IEEE Trans. Pattern Anal. Mach. Intell., 1989, 11(7) : 674-693.
23. A. J. da Rocha Reis and A. P. Alves da Silva, " Feature Extraction via Multiresolution Analysis for Short-Term Load Forecasting," IEEE Transaction on Power Systems, 2005, 20 (1): 189-198.