Performance of STLF model from the PSO, time series and regression perspectives

  • Authors:

  • S. Hassnain;A. Asar;F. Mahmood

  • Affiliations:

  • Department of Electrical and Electronic Engineering, NWFP UET, Peshawar, Pakistan;Department of Electrical and Electronic Engineering, NWFP UET, Peshawar, Pakistan;Department of Electrical and Electronic Engineering, NWFP UET, Peshawar, Pakistan

  • Venue:
  • IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
  • Year:
  • 2009

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Abstract

This paper presents a comparison of ANN based short term load forecasting technique using (PSO) Particle Swarm Optimization with time series and regression techniques. The results indicate a remarkable difference among the performance of the above mentioned methods.