Memorias de investigación
Communications at congresses:
Multivariate forecasting of price and demand of electricity based on Random Forest Models
Year:2016

Research Areas
  • Engineering,
  • Information technology and adata processing,
  • Electric engineers, electronic and automatic (eil)

Information
Abstract
Short-term demand and price forecasting allows energy producers to adjust their production to meet demand and to know in advance an estimate of the price at which their energy will be purchased. The same applies to consumers viz. the price they will pay for the energy they use and adapt their consumption accordingly. The main objective of this work is to predict jointly (multivariate modeling) the price and demand of electricity in the Spanish market and compare the results with those obtained individually (univariate modeling)
International
Si
Congress
36th Interantional symposium on forecasting
730
Place
Santander (Spain)
Reviewers
Si
ISBN/ISSN
1997-4116
Start Date
19/06/2016
End Date
22/06/2016
From page
68
To page
69
The 36th International Symposium on Forecasting
Participants

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Estadística computacional y Modelado estocástico
  • Centro o Instituto I+D+i: Instituto Universitario de Investigación del Automóvil (INSIA)
  • Departamento: Ingeniería de Organización, Administración de Empresas y Estadística