One step ahead: Short-term wind power forecasting and intelligent predictive control based on data analytics

IEEE Power and Energy Magazine

Volumn 10, Issue 5, 2012, Pages 70-78

  Venayagamoorthy, Ganesh Kumar ^a   Rohrig, Kurt ^b   Erlich, István ^c  

^a CLEMSON UNIVERSITY   (United States)

^b FRAUNHOFER IWES   (Germany)

^c UNIVERSITY OF DUISBURG ESSEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DATA ANALYTICS; ECONOMICS; ELECTRIC POWER GENERATION; PREDICTIVE ANALYTICS;

CONVENTIONAL POWER; ELECTRICITY SUPPLY; ELECTRICITY SYSTEM; INTELLIGENT INTEGRATION; INTELLIGENT PREDICTIVE CONTROL; SHORT-TERM WIND POWER FORECASTING; SUPPLY AND DEMAND; WIND PENETRATION;

WIND POWER;

EID: 84865404170     PISSN: 15407977     EISSN: None     Source Type: Journal    
DOI: 10.1109/MPE.2012.2205322     Document Type: Article

References (6)

1. G. K. Venayagamoorthy, "Dynamic, stochastic, computational and scalable technologies for smart grid," IEEE Comput. Intell. Mag., vol. 6, no. 3, pp. 22-35, Aug. 2011.
2. B. Lange, K. Rohrig, B. Ernst, B. Oakleaf, M. L. Ahlstrom, M. Lange, C. Moehrlen, and U. Focken, "Predicting the wind-Models and methods of wind forecasting for utility operations planning," IEEE Power Energy Mag., vol. 5, no. 6, pp. 78-89, Nov.-Dec. 2007.
3. R. Jursa and K. Rohrig, "Short-term wind power forecasting using evolutionary algorithms for the automated specification of artificial intelligence models," Int. J. Forecast., vol. 24, no. 4, pp. 694-709, Oct.-Dec. 2008.
4. I. Erlich, G. K. Venayagamoorthy, and N. Worawat, "A mean-variance optimization method," in Proc. IEEE World Congress Computational Intelligence, Barcelona, Spain, July 18-23, 2010, pp. 1-6.
5. V. S. Pappala, I. Erlich, and K. Rohrig, "A stochastic model for the optimal operation of a wind-thermal power system," IEEE Trans. Power Syst., vol. 24, no. 2, pp. 940-950, May 2009.
6. G. K. Venayagamoorthy, R. G. Harley, and D. C. Wunsch, "Comparison of heuristic dynamic programming and dual heuristic programming adaptive critics for neurocontrol of a turbogenerator," IEEE Trans. Neural Networks, vol. 13, no. 3, pp. 764-773, May 2002. (Pubitemid 34669664)