Application of self-organizing maps for classification and filtering of electrical customer load patterns

  1. Valero, S. 4
  2. Ortiz, M. 4
  3. Senabre, C. 4
  4. Álvarez, C. 3
  5. García Franco, F.J. 3
  6. Encinas, N. 3
  7. Gabaldón, A. 1
  8. Fuentes, J.A. 1
  9. Ramírez-Rosado, I.J. 2
  10. Fernández-Jiménez, L.A. 2
  1. 1 Universidad Politécnica de Cartagena
    info
    Universidad Politécnica de Cartagena

    Cartagena, España

    ROR https://ror.org/02k5kx966

    Geographic location of the organization Universidad Politécnica de Cartagena
  2. 2 Universidad de La Rioja
    info
    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

    Geographic location of the organization Universidad de La Rioja
  3. 3 Universidad Politécnica de Valencia
    info
    Universidad Politécnica de Valencia

    Valencia, España

    ROR https://ror.org/01460j859

    Geographic location of the organization Universidad Politécnica de Valencia
  4. 4 Universidad Miguel Hernández de Elche
    info
    Universidad Miguel Hernández de Elche

    Elche, España

    ROR https://ror.org/01azzms13

    Geographic location of the organization Universidad Miguel Hernández de Elche
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Book:
International Conference on Power nad Energy Systems

Publisher: 92

ISBN: 0-88986-326-1

Year of publication: 2004

Pages: 87-92

Type: Book Chapter

SCOPUS: 2-s2.0-19944429376 GOOGLE SCHOLAR

Sustainable development goals

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SDG classification obtained using Aurora SDG artificial intelligence model.