Load forecasting based on kernel-based orthogonal projections to latent structures

Proceedings of 2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011

Volumn 9, Issue , 2011, Pages 4451-4454

  Kong, Lingcai ^a   Ma, Yanpeng ^a  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

kernel PLS; load forecasting; orthogonal signal correction; partial least square

Indexed keywords

DATA ANALYSIS METHODS; DESCRIPTORS; GRAM MATRICES; KERNEL PLS; LATENT STRUCTURES; LOAD FORECASTING; LOAD FORECASTING MODEL; MATRIX; MODEL FRAMEWORK; NON-LINEAR RELATIONSHIPS; ORTHOGONAL PROJECTION; ORTHOGONAL SIGNAL CORRECTION; PARTIAL LEAST SQUARES; PARTIAL LEAST SQUARES MODELS; PREDICTIVE PERFORMANCE;

DATA REDUCTION; FORECASTING; INFORMATION TECHNOLOGY; MECHANICAL ENGINEERING; PRINCIPAL COMPONENT ANALYSIS;

ELECTRIC LOAD FORECASTING;

EID: 80053397692     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMEIT.2011.6023132     Document Type: Conference Paper

References (19)

1. Taylor JW, Buizza R, "Using weather ensemble predictions in electricity demand forecasting, " International Journal of Forecasting, vol. 19, Issue 1, 2003, pp. 57-70 (Pubitemid 36136157)
2. S. S. Pappas, L. Ekonomou, D. C. Karamousantas, G. E. Chatzarakis, S. K. Katsikas, P. Liatsis, "Electricity demand loads modeling using AutoRegressive Moving Average (ARMA) models, " Energy, vol. 33, Issue 9, 2008, pp. 1353-1360.
3. G. Simon, A. Lendasse, M. Cottrell, J. C. Fort, M. Verleysen, "Time series forecasting: Obtaining long term trends with self-Organizing maps, " Pattern Recongnition Letters, vol. 26, Issue 12, 2005, pp. 1795-1808. (Pubitemid 41049654)
4. D. Niu, S. Cao, L. Zhao, Power Load Forecasting Technology and its Application, China Electric Power Press, Beijing, 2001.
5. Dongxiao Niu, Jinchao Li, Jinying Li, Da Liu, "Middle-Long power load forecasting based on particle swarm optimization, " Computers & Mathematics with Applications, vol. 57, Issues 11-12, 2009, pp. [V] 1883-1889.
6. S. Rahman, O. Hazim, "Load forecasting for multiple sites: development of an expert system-Based technique," Electric Power Systems Research, vol. 39, Issue 3, 1996, pp. 161-169. (Pubitemid 126375695)
7. M. R. AlRashidi, K. M. EL-Naggar, "Long term electric load forecasting based on particle swarm optimization, " Applied Energy, vol. 87, Issue 1, 2010, pp. 320-326.
8. M. Beccali, M. Cellura, V. Lo Brano, A. Marvuglia, "Forecasting daily urban electric load profilesusing artificial neural networks, " Energy Conversion and Management, vol. 45, Issues 18-19, 2004, pp. 2879-2900.
9. Wei-Chiang Hong, "Electric load forecasting by support vector model. Applied Mathematical Modelling, " vol. 33, 2009, pp. 2444-2454.
10. Weng-Sheng Wang, Jing Ding, Yu-Long Zhao, Xiao-Ming Zhang, "Study on the long term prediction of annual electricity consumption using partial least square regression model, " Proceedings of the CSEE, vol. 23, 2003, pp. 17-21.
11. Li-Fan Mao, Yue-Chun Jiang, Rui-Hua Long, Ni Li, Hui Huang, Shan Huang, "Medium-and Long-Term Load Forecasting Based on Partial Least Squares Regression Analysis, " Power System Technology, vol. 32, 2008, pp. 71-77.
12. Jin-Ding Cai, Hui Wang, "Application of non-Linear partial least square regression in electricity load prediction, " Advanced Technology of Electrical Engineering and Energy, vol. 25, 2006, pp. 15-17.
13. L. Eriksson, E. Johansson, N. Kettaneh-Wold, J. Trygg, C. Wikstrom, and S. Wold, Multi-and megavariate data analysis (part I): Basic principles and applications, Umetrics AB, second revised and enlarged edition, 2006.
14. Wold, S., Antti, H., Lindgren, F., and Ohman, J., "Orthogonal Signal Correction of Near-Infrared Spectra, " Chemometrics and Intelligent Laboratory Systems, vol. 44, 1998, pp. 175-185. (Pubitemid 29016095)
15. Johan Trygg, Svante Wold, "Orthogonal projections to latent structures (O-PLS), " Journal of Chemometrics, vol. 16, 2002, pp. 119-128.
16. R. Rosipal, L. J. Trejo, "Kernel partial least squares regression in reproducing Kernel Hilbert space, " Journal of Machine Learning Research, vol. 2, 2001, pp. 97-123.
17. Mattias Rantalainen, Max Bylesjo, Olivier Cloatec, Jeremy K Nicholson, Elaine Holmes and Johan Trygg, "Kernel-Based orthogonal projections to latent structures(K-OPLS), " Journal of Chemometrics, vol. 21, 2007, pp. 376-385.
18. Czekaj T, Wu W, Walczak B, "About kernel latent variable approaches and SVM, " Journal of Chemometrics, vol. 19, 2005, pp. 341-354.
19. Max Bylesjo, Mattias Rantalainen, Jeremy K Nicholson, Elaine Holmes and Johan Trygg, "K-OPLS package: Kernel-Based orthogonal projections to latent structures for prediction and interpretation in feature space, " BMC Bioinformatics 2008, 9:106