Electricity demand forecast model based on meteorological and historical demand data using artificial neural networks

M. Uhrig, L. D. Vignolo, O. Müller
(2024): ASAID – Simposio Argentino de Inteligencia Artificial y Ciencia de Datos, Volume 10 - 2024
Download the publication : sinc_UVM24.pdf [319Ko]  

BibTex references

@InProceedings{UVM24,
  author       = "Uhrig, M. and Vignolo, L. D. and Müller, O.",
  title        = "Electricity demand forecast model based on meteorological and 
historical demand data using artificial neural networks", booktitle = "(2024): ASAID – Simposio Argentino de Inteligencia Artificial
y Ciencia de Datos", volume = "10", year = "2024", url = "http://sinc.unl.edu.ar/sinc-publications/2024/UVM24" }
Download BibTex: UVM24.bib

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