Reconstructing missing data in state estimation with autoencoders

IEEE Transactions on Power Systems

Volumn 27, Issue 2, 2012, Pages 604-611

  Miranda, Vladimiro ^a,b   Krstulovic, Jakov ^a   Keko, Hrvoje ^a,b   Moreira, Cristiano ^a,b   Pereira, Jorge ^a,b  

^a UNIVERSITY OF PORTO   (Portugal)

^b UNIVERSITY OF PORTO   (Portugal)

Author keywords

Autoencoders; distribution management systems; energy management systems; neural networks; state estimation

Indexed keywords

AUTOENCODERS; DISTRIBUTION MANAGEMENT SYSTEMS; ENERGY MANAGEMENT SYSTEM; MANAGEMENT SYSTEMS; MISSING DATA; MISSING INFORMATION; MISSING INPUTS; MISSING VOLTAGE; NONLINEAR MANIFOLDS; OFFLINE; PROOF OF CONCEPT; SWITCH STATUS;

ENERGY MANAGEMENT; NEURAL NETWORKS; STATE ESTIMATION; SWITCHING CIRCUITS;

INFORMATION MANAGEMENT;

EID: 84860231675     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRS.2011.2174810     Document Type: Article

References (23)

1. A. J. A. Simões Costa and M. Tardio Arze, " Critical pseudo-measurement selection for unreduced external system modeling " Int. J. Elect. Power Energy Syst. , vol. 18, no. 2, pp. 73-80, Feb. 1996. (Pubitemid 126405506)
2. A. S. Costa and M. C. dos Santos, " Real-time monitoring of distributed generation based on state estimation and hypothesis testing " in Proc. IEEE Lausanne Power Tech 2007 , Jul. 2007, pp. 538-543.
3. E. Manitsas, R. Singh, B. Pal, and G. Strbac, " Modeling of pseudo-measurements for distribution system state estimation," in Proc. IET-CIRED Seminar: SmartGrids for Distribution , Frankfurt, Germany, Jun. 2008, pp. 1-4.
4. F. F. Wu and W.-H. E Liu, " Detection of topology errors by state estimation," IEEE Trans. Power Syst. , vol. 4, no. 1, pp. 176-183, Feb. 1989.
5. E. M. Lourenco, A. S. Costa, and K. A. Clements, " Bayesian-based hypothesis testing for topology error identification generalized state estimation " IEEE Trans. Power Syst., vol. 19, no. 2, pp. 1206-1215, May 2004.
6. G. E. Hinton and R. R. Salakhutdinov, " Reducing the dimensionality of data with neural networks," Science , vol. 313, no. 5786, pp. 504-507, Jul. 2006. (Pubitemid 44148451)
7. G. W. Cottrell, P. Munro, and D. Zipser, " Learning internal representations from gray-scale images: An example of extensional programming " in Proc. 9th Annu. Conf. Cognitive Science Society, Seattle,WA, 1987.
8. M. K. Fleming and G. W. Cottrell, " Categorization of faces using unsupervised feature extraction " in Proc. IJCNN-Int. Joint Conf. Neural Networks, San Diego, CA, Jun. 17-21, 1990, vol. 2, pp. 65-70.
9. B. Golomb and T. Sejnowski, " Sex recognition from faces using neural networks " in Applications of Neural Networks , A. Murray, Ed. Norwell, MA: Kluwer, 1995, pp. 71-92.
10. S. Narayanan, R. J. Marks I1, II. L. Vian, 1 Choi, M. A. El-Sharkawi, and B. B. Thompson, " Set constraint discovery: Missing sensor data restoration using auto-associative regression machines," in Proc. 2002 Int. Joint Conf. Neural Networks, 2002 IEEE World Congr. Computational Intelligence , Honolulu, HI, May 12-17, 2002, pp. 2872-2877. (Pubitemid 34648088)
11. B. B. Thompson, R. J. Marks, and M. A. El-Sharkawi, " On the contractive nature of autoencoders: Application to missing sensor restoration " in Proc. Int. Joint Conf . Neural Networks, Jul. 2003, vol. 4, pp. 3011-3016.
12. S. Narayanan, R. J. Marks I1, II. L. Vian, 1 Choi, M. A. El-Sharkawi, and B. B. Thompson, "Set constraint discovery: Missing sensor data r estoration using auto-associative regression machines," in Proc. Int. Joint Conf. Neural Networks, IEEE World Congr. Computational Intelligence , Honolulu, HI, May 12-17, 2002, pp. 2872-2877. (Pubitemid 34648088)
13. M. Abdella and T. Marwala, " The use of genetic algorithms and neural networks to approximate missing data databases " Comput. Inf. , no. 24, pp. 577-589, 2005. (Pubitemid 43625249)
14. I. T. Jolliffe, " Principal component analysis," in Springer Series Statistics . New York: Springer, 2002.
15. N. Japkowitz, S. J. Hanson, and M. A. Gluck, " Nonlinear autoassociation is not equivalent to PCA," Neural Comput. , vol. 12, no. 3, pp. 531-545, Mar. 2000.
16. W. Qiaoa, Z. Gao, R. G. Harley, and G. K. Venayagamoorthy, " Robust neuro-identification of nonlinear plants electric power systems with missing sensor measurements " Eng. Appl. Artif. Intell., no. 21, pp. 604-618, 2008. (Pubitemid 351680691)
17. S. Mohagheghi, G. K. Venayagamoorthy, and R. G. Harley, " Optimal wide area controller and state predictor for a power system " IEEE Trans. Power Syst. , vol. 22, no. 2, pp. 693-705, May 2007. (Pubitemid 46746232)
18. IEEE RTS Task Force of APM Subcommittee, " IEEE reliability test system," IEEE Trans. Power App. Syst., vol. PAS- 98, no. 6, pp. 2047-2054, Nov/Dec. 1979.
19. V. Miranda and N. Fonseca, " EPSO-Best-of-two-worlds metaheuristic applied to power system problems," in Proc. WCCI 2002-World Congr. Computational Intel ligence-CEC-Conf. Evolutionary Computing, Honolulu, HI, May 2002.
20. V. Miranda, H. Keko, and A. Jaramillo, " EPSO: Evolutionary particle swarms," in Advances Evolutionary Computing for System Design , ser. Computational Intelligence, L. Ja, Ed. New York: Springer, 2007, vol. 66, ch. 6, pp. 139-168.
21. V. Miranda, H. Keko, and Á. J. Duque, "Stochastic star communication topology evolutionary particle swarms (EPSO) " Int. J. Comput. Intell. Res., vol. 4, no. 2, 2008.
22. E. Parzen, " On the estimation of a probability density function and the mode," Ann. Math Statist. , vol. 33, 1962.
23. R. Billinton, P. K. Vohra, and S. Kumar, " Effect of station originated outages a composite system adequacy evaluation of the IEEE reliability test system," IEEE Power App. Syst. , vol. PAS-104, pp. 2249-2656, Oct. 1985.