Wrapper Feature Selection Significantly Improves Nonlinear Prediction of Electricity Spot Prices

Martin Macas, Lenka Lhotská. Wrapper Feature Selection Significantly Improves Nonlinear Prediction of Electricity Spot Prices. In IEEE International Conference on Systems, Man, and Cybernetics, Manchester, SMC 2013, United Kingdom, October 13-16, 2013. pages 1171-1174, IEEE, 2013. [doi]

@inproceedings{MacaL13,
  title = {Wrapper Feature Selection Significantly Improves Nonlinear Prediction of Electricity Spot Prices},
  author = {Martin Macas and Lenka Lhotská},
  year = {2013},
  doi = {10.1109/SMC.2013.203},
  url = {http://dx.doi.org/10.1109/SMC.2013.203},
  researchr = {https://researchr.org/publication/MacaL13},
  cites = {0},
  citedby = {0},
  pages = {1171-1174},
  booktitle = {IEEE International Conference on Systems, Man, and Cybernetics, Manchester, SMC 2013, United Kingdom, October 13-16, 2013},
  publisher = {IEEE},
}