Short Term Load Forecasting Using a Hybrid Neural Network

@article{Yap2006ShortTL,
  title={Short Term Load Forecasting Using a Hybrid Neural Network},
  author={K. S. Yap and I. H. Z. Abidin and C. P. Lim and M. S. R. Mohd Shah},
  journal={2006 IEEE International Power and Energy Conference},
  year={2006},
  pages={123-128}
}
Short term load forecasting (STLF) is very important from the power systems grid operation point of view. STLF involves forecasting load demand in a short term time frame. The short term time frame may consist of half hourly prediction up to weekly prediction. Accurate forecasting would benefit the utility in terms of reliability and stability of the grid ensuring adequate supply is present to meet with the load demand. Apart from that it would also affect the financial performance of the… CONTINUE READING

References

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