Forecasting market-clearing price in day-ahead market, using SOM-ANN

  title={Forecasting market-clearing price in day-ahead market, using SOM-ANN},
  author={Buhan Zhang and Ciling Zeng and Shaorong Wang and Peiyuan Xie},
  journal={39th International Universities Power Engineering Conference, 2004. UPEC 2004.},
  pages={390-393 Vol. 1}
Forecasting the market-clearing price (MCP) is the most essential task for any decision-making. In this paper, a three-layer backpropagation (BP) network model is proposed firstly. Three kinds of factors: the historical loads and MCP, the behavior of the participants and the reliability level of the power system, are considered as the inputs of the model. Secondly, based on the characteristic of self-organizing and clustering of self-organizing map (SOM), a method is proposed to deal with the… CONTINUE READING


Publications referenced by this paper.
Showing 1-2 of 2 references

Ciling Zeng received her B.S. and M.S. degrees in electrical engineering from W S T


Electric price short-term forecasting using artificial neural networks

B. R. Szkuta, L. A. Sanabria, T. S . Dillon
IEEE Trans. on Power Systems, • 1999

Similar Papers

Loading similar papers…