A Computing Model of Artificial Intelligent Approaches to Mid-term Load Forecasting : a state-ofthe-art-survey for the researcher

@inproceedings{Bunnoon2010ACM,
  title={A Computing Model of Artificial Intelligent Approaches to Mid-term Load Forecasting : a state-ofthe-art-survey for the researcher},
  author={Pituk Bunnoon and Kusumal Chalermyanont and Chusak Limsakul},
  year={2010}
}
 Abstract—This article presents the review of the computing models applied for solving problems of midterm load forecasting. The load forecasting results can be used in electricity generation such as energy reservation and maintenance scheduling. Principle, strategy and results of short term, midterm, and long term load forecasting using statistic methods and artificial intelligence technology (AI) are summaried, Which, comparison between each method and the articles have difference feature… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 38 references

N.Kanagaraj, ―Fuzzy approach for short term load forcasting,

  • S.Chenthur Pandian, K.Duraiswamy, C.Christer Asir Rajan
  • Electric Power Systems Research
  • 2006
Highly Influential
11 Excerpts

Artificial intelligence in short term electric load forecasting :a state-of-the-art survey for the research,

  • K. Metaxiotis, A. Kagiannas, D. Askounis, J. Psarras
  • Energy Conversion and Management
  • 2003
Highly Influential
4 Excerpts

A neuro-expert system for planning and load forecasting of distribution systems

  • Adiga S. Chandrashekara, T. Ananthapadmanabha, A. D. Kulkarni
  • International Journal of Electrical Power…
  • 1999
Highly Influential
15 Excerpts

kurata, ―Graphical Modeling for Selecting Input Variables of Short-term Load Forecasting,

  • Hiroyuki mori, eitaro
  • Power Tech,
  • 2007
Highly Influential
5 Excerpts

Lalas, ―Models for mid-term electricity demand forecasting incorporating weather influences,‖ energy 31,2006

  • S.Mirasgedis, Y.Sarafidis, D.P.E.Georgopoulou
  • 2006
Highly Influential
5 Excerpts

Similar Papers

Loading similar papers…