Using a Self Organizing Map Neural Network for Short-Term Load Forecasting, Analysis of Different Input Data Patterns

C. Senabre, S. Valero, J. Aparicio. Using a Self Organizing Map Neural Network for Short-Term Load Forecasting, Analysis of Different Input Data Patterns. In André Carlos Ponce Leon Ferreira de Carvalho, Sara Rodríguez-González, Juan F. De Paz Santana, Juan M. Corchado Rodríguez, editors, Distributed Computing and Artificial Intelligence - 7th International Symposium, DCAI 2010, 7-10 September 2010, Valencia, Spain. Volume 79 of Advances in Soft Computing, pages 397-400, Springer, 2010. [doi]

@inproceedings{SenabreVA10,
  title = {Using a Self Organizing Map Neural Network for Short-Term Load Forecasting, Analysis of Different Input Data Patterns},
  author = {C. Senabre and S. Valero and J. Aparicio},
  year = {2010},
  doi = {10.1007/978-3-642-14883-5_51},
  url = {http://dx.doi.org/10.1007/978-3-642-14883-5_51},
  researchr = {https://researchr.org/publication/SenabreVA10},
  cites = {0},
  citedby = {0},
  pages = {397-400},
  booktitle = {Distributed Computing and Artificial Intelligence - 7th International Symposium, DCAI 2010, 7-10 September 2010, Valencia, Spain},
  editor = {André Carlos Ponce Leon Ferreira de Carvalho and Sara Rodríguez-González and Juan F. De Paz Santana and Juan M. Corchado Rodríguez},
  volume = {79},
  series = {Advances in Soft Computing},
  publisher = {Springer},
  isbn = {978-3-642-14882-8},
}