Parameter Estimation Based On Particle Swarm Optimization for Short Term Load Forecasting

........................................................................................................................................................iii

[1]  Joong-Rin Shin,et al.  A particle swarm optimization for economic dispatch with nonsmooth cost functions , 2005, IEEE Transactions on Power Systems.

[2]  Shu Fan,et al.  Next-day electricity-price forecasting using a hybrid network , 2007 .

[3]  T. Funabashi,et al.  Next day load curve forecasting using hybrid correction method , 2005, IEEE Transactions on Power Systems.

[4]  Yuan-Yih Hsu,et al.  Short term load forecasting of Taiwan power system using a knowledge-based expert system , 1990 .

[5]  Yong Yu,et al.  Intelligent Fabric Hand Prediction System With Fuzzy Neural Network , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[6]  A. Germond,et al.  Short term electrical load forecasting with artificial neural networks , 1996 .

[7]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[8]  Russell C. Eberhart,et al.  Comparison between Genetic Algorithms and Particle Swarm Optimization , 1998, Evolutionary Programming.

[9]  George G. Karady,et al.  Advancement in the application of neural networks for short-term load forecasting , 1992 .

[10]  Saifur Rahman,et al.  Load forecasting for multiple sites: development of an expert system-based technique , 1996 .

[11]  Hossein Shayeghi,et al.  STLF Based on Optimized Neural Network Using PSO , 2009 .

[12]  Y.-Y. Hsu,et al.  Fuzzy expert systems: an application to short-term load forecasting , 1992 .

[13]  A. Hainoun Construction of the hourly load curves and detecting the annual peak load of future Syrian electric power demand using bottom-up approach , 2009 .

[14]  Q. Henry Wu,et al.  Electric Load Forecasting Based on Locally Weighted Support Vector Regression , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[15]  J. P. Rothe,et al.  Short Term Load Forecasting Using Multi Parameter Regression , 2009, ArXiv.

[16]  Yuhui Shi,et al.  Particle swarm optimization: developments, applications and resources , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

[17]  C. E. Pedreira,et al.  Estimating temperature profiles for short-term load forecasting: neural networks compared to linear models , 2004 .

[18]  Athanasios Sfetsos,et al.  Short-term load forecasting with a hybrid clustering algorithm , 2003 .

[19]  Hesham K. Alfares,et al.  Electric load forecasting: Literature survey and classification of methods , 2002, Int. J. Syst. Sci..

[20]  M. R. AlRashidi,et al.  A new estimation algorithm for electric load forecast model identification , 2010 .

[21]  Carlos E. Pedreira,et al.  Neural networks for short-term load forecasting: a review and evaluation , 2001 .

[22]  S. Muto,et al.  Regression based peak load forecasting using a transformation technique , 1994 .

[23]  Russell C. Eberhart,et al.  Parameter Selection in Particle Swarm Optimization , 1998, Evolutionary Programming.

[24]  Gonzalo Joya,et al.  Global model for short-term load forecasting using artificial neural networks , 2002 .

[25]  Suman Ahmmed,et al.  An Efficient Hybrid Model to Load Forecasting , 2010 .

[26]  M. El-Hawary,et al.  Load forecasting via suboptimal seasonal autoregressive models and iteratively reweighted least squares estimation , 1993 .