Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Short-term electric load forecasting with regression-spline models
Year:2016
Research Areas
  • Engineering,
  • Electric engineers, electronic and automatic (eil)
Information
Abstract
In this work, a short-term electric load forecasting method is developed, us-ing as an explanatory variable the temperature forecasts from an external agent. A regression-spline model has been designed to implement the rela-tionship between temperature and energy demand. The proposed method is general and can be implemented in any real-time electricity energy system. To check the method's performance, a real data set from the Spanish elec-tricity market has been used and the developed algorithm has been tested employing the MSE as the performance metric. Results denote that the forecasting method is both accurate and computationally efficient.
International
Si
Congress
36th Annual International Symposium on Forecasting
960
Place
Santander, Spain
Reviewers
Si
ISBN/ISSN
0000000000
Start Date
12/06/2016
End Date
22/06/2016
From page
1
To page
12
0
Participants
  • Autor: Eduardo Caro Huertas (UPM)
  • Autor: Jesus Juan Ruiz (UPM)
  • Autor: Francisco Javier Cara Cañas (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Estadística computacional y Modelado estocástico
  • Departamento: Ingeniería de Organización, Administración de Empresas y Estadística
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)