The hybrid model based on Hilbert-Huang transform and neural networks for forecasting of short-term operation conditions of power system

2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011

Volumn , Issue , 2011, Pages

  Kurbatsky, V G ^a   Sidorov, D N ^a   Spiryaev, V A ^a   Tomin, N V ^a  

^a MELENTIEV ENERGY SYSTEMS INSTITUTE   (Russian Federation)

Author keywords

artificial neural networks; forecasting; Hilbert Huang Transform; hybrid model; operation conditions; power system

Indexed keywords

CONVENTIONAL APPROACH; DATA PREPROCESSING; HILBERT HUANG TRANSFORMS; HYBRID MODEL; NONSTATIONARY PROCESS; OPERATION CONDITIONS; SHORT-TERM FORECASTING; SHORT-TERM OPERATION; TWO STAGE;

FORECASTING; MATHEMATICAL TRANSFORMATIONS; POWER TRANSMISSION; STANDBY POWER SYSTEMS; SUSTAINABLE DEVELOPMENT;

NEURAL NETWORKS;

EID: 80053345828     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PTC.2011.6019155     Document Type: Conference Paper

References (24)

1. E.D. McKenzie, "General exponential smoothing and the equivalent ARMA process", J. Forecasting, vol. 3, 1984, Pp. 333-344.
2. G. Zhang, E.B. Patuwo, and M.Y Hu, "Forecasting with artificial neural networks: The state of the art," J. Forecasting, vol. 14, 1998, Pp. 35-62. (Pubitemid 128340470)
3. Kurbatsky V.G., Tomin N.V. The intelligent "ANAPRO" sowtware in problems of monitoring in power distribution network, Software & Systems, vol. 4, 2010, Pp. 148-152
4. Huang H.E., Shen Z., Long S.R., Wu M.C., Sliih H.H., Zheng Q., Yen N.-C. Tung C.C. and Liu H.H. "The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis". Proc. R. Soc. Lond. A (1998) 454. Pp. 903-995. (Pubitemid 128733183)
5. Nilanjan Senroy. Siddharth Suryanayanan, Paulo F. Ribeiro. "An improved Hilbert-Huang method for analysis of time-varying waveforms in power quality", IEEE Trans in Power Systems, Vol. 22, No. 4, November, 2007. Pp. 1843-1850
6. Zhigaiig Liu, Weili Bai and Gang Chen. "A new short-term load forecasting model of power system based on HHT and ANN", Proc. Advances in Neural Networks, -ISNN 2010, Shanghai, China, June 6-9, 2010, Lecture Notes in Computer Science, Springer, Vol. 6064, 2010, Pp.448-454.
7. Zhigang Liu, Weili Bai and Gang Chen. '"A new short-term load forecasting model of power system based on HHT and ANN", Proc Advances in Neural Networks, -ISNN 2010, Shanghai, China, June 6-9, 2010, Lecture Notes in Computer Science, Springer, Vol. 6064, 2010, Pp.448-454.
8. S. Makridakis. A. Anderson, R. Carbone, R. Fildes, M. Hibdon, R. Lewandowski. J. Newton. E. Parzen. and R. Winkler, "The accuracy of extrapolation time series methods: Results of a forecasting competition," J. Forecasting, vol. 1, 1982, Pp. 111-153
9. R. Winkler. "Combining forecasts: A philosophical basis and some current issues." J. Forecasting, vol. 5, 1989, Pp. 605-609
10. N. Kohzadi, M. S. Boyd. B. Kermanshahi. and I. Kaasrra, "A comparison of artificial neural network and time series models for forecasting commodity prices." Neurocomputing, vol. 10, 1996, pp. 169-181. (Pubitemid 26082147)
11. G. P. Zhang. "Time series forecasting using a hybrid AR1MA and neural network model," Neurocomputing, vol. 50, 2003, Pp. 159-175,
12. Haykin S. Neural networks. A comprehensive foundation. Second edition / S. Haykin. - Williams Publishing House, 2006.-1104 p.
13. G.E.P. Box and G. Jenkins, Time Series Analysis, Forecasting and Control. San Francisco, CA: Holden-Day, 1970-316 p.
14. N.I. Voropai, I.N. Kolosok, V.G. Kurbatsky, P.V. Etingov, N.V. Tomin, E.S. Korkina, A.S. Paltsev. Intelligent coordinated operation and emergency control in electric power systems / Proc. Conference on Control Methodologies and Technology for Energy Efficiency (CMTEE-2010), Vilamoura, Portugal, 2010
15. N. I. Voropai, A. M. Glazunova, V.G. Kurbatsky, D.N. Sidorov, V. A. Spiryaev, N.V. Tomin. Operating Conditions Forecasting for Monitoring and Control of Electric Power Systems / Proc. the IEEE ISGT Europe 2010 Conference, Gothenburg, Sweden, 2010.
16. KurbatskyV.G., Tomin N.V. "Use of the "ANAPRO" software to analyze and forecast operating parameters and technological characteristics on the basis of macro applications", Proc. of IEEE Bucharest PowerTech International Conference, Bucharest, Romania, 2009.
17. V. Kurbatsky, N. Tomin. Intelligent Monitoring in Electric Power System / Proc. 2nd IEEE International Conference on Sustainable Energy Technologies (ICSET'10), Sri-Lanka, Kandy, 2010
18. Kurbatsky V.G., Tomin N.V. "Use of the intelligent ANAPRO software package for power system industry problems", Proceedings of the 9th Baikal All-Russian Conf. "Information and mathematical technologies in science and management." Part 1. - Irkutsk: SEI SB RAS, 2009. - Pp.61-76.
19. KurbatskyV.G., Tomin N.V. "Use of the "ANAPRO" software to analyze and forecast operating parameters and technological characteristics on the basis of macro applications", Proc. of IEEE Bucharest PowerTech International Conference, Bucharest, Romania, 2009.
20. th International Conference of Environment and Electrical Engineering (EEEIC-2010), Prague, 2010, Pp. 289-296.
21. Rilling G., Flandrin P., Goncalves P. "On Empirical Mode Decomposition and its Algorithms", IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing NSIP-03, Grado (I), June 2003
22. V. Kurbatsky, D. Sidorov, V. Spiryaev, N. Tomin. Electricity Prices Neural Networks Forecast using the Hilbert-Huang Transform / Proc. International Conference on Environment and Electrical Engineering (EEEIC'2010), Prague, Czech Republic, 2010. Pp. 381-383
23. Kurbatsky V., Sidorov D., Spiryaev V., Tomin N. "Using the Hilbert-Huang transform for ANN prediction of nonstationary processes in complex power systems", 8 World Energy System Conference "WESC'2010". Romania, Targoviste. Pp. 106-110.
24. V. Kurbatsky, N. Tomin. Using the hybrid models for short-term prediction operating parameters and technological characteristics of electric power system / Proc. International Scientific and Technical Conference "Electrical Power Engineering 2010", Varna, Bulgaria, 2010. Pp. 126-136