Short time load forecasting based on simulated annealing and genetic algorithm improved SVM
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[1] T. Chow,et al. Nonlinear autoregressive integrated neural network model for short-term load forecasting , 1996 .
[2] Robert E. Smith,et al. A genetic algorithm based approach to thermal unit commitment of electric power systems , 1995 .
[3] Bernhard Sendhoff,et al. Variable encoding of modular neural networks for time series prediction , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[4] Y. Shimakura,et al. Short-term load forecasting using an artificial neural network , 1993, [1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems.
[5] S. J. Kiartzis,et al. A neural network short term load forecasting model for the Greek power system , 1996 .
[6] T. Hesterberg,et al. A regression-based approach to short-term system load forecasting , 1989, Conference Papers Power Industry Computer Application Conference.
[7] Moon-Hee Park,et al. Short-term Load Forecasting Using Artificial Neural Network , 1992 .
[8] Sandra Paterlini,et al. Evolutionary approaches for statistical modelling , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).
[9] Saifur Rahman,et al. A real-time short-term load forecasting system using functional link network , 1997 .
[10] A. Conejo,et al. A parallel repair genetic algorithm to solve the unit commitment problem , 2003, 2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491).
[11] C. Lucas,et al. A new genetic algorithm with Lamarckian individual learning for generation scheduling , 2003 .
[12] G. Purushothama,et al. Simulated Annealing with Local Search: A Hybrid Algorithm for Unit Commitment , 2002, IEEE Power Engineering Review.
[13] Francisco D. Galiana,et al. Unit commitment by simulated annealing , 1990 .
[14] Y. W. Wong,et al. Short-term hydrothermal scheduling part. I. Simulated annealing approach , 1994 .
[15] S. J. Kiartzis,et al. Short-term load forecasting in an autonomous power system using artificial neural networks , 1997 .