Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Impact of weather forecasting accuracy over the electric demand predictions quality
Year:2017
Research Areas
  • Statistics,
  • Engineering,
  • Electric engineering
Information
Abstract
Technical literature is rich in references pertaining to short-term electricity demand forecasting. These algorithms usually require the information of some variables such as: meteorological data, information about holidays, etc. Among all these variables, the temperature is the most relevant information from the perspective of electricity demand forecasting. This work analyzes the effect of the weather forecasting inaccuracies over the electric demand predictions. It has been performed a complete case study using real-world data from the Spanish mainland system, withdrawing statistically sound conclu-sions
International
No
Congress
International work-conference on Time Series 2017
960
Place
Granada, Spain
Reviewers
Si
ISBN/ISSN
978-84-17293-01-7
Start Date
18/09/2017
End Date
20/09/2017
From page
960
To page
963
Proceedings - ITISE 2017
Participants
  • Autor: Eduardo Caro Huertas (UPM)
  • Autor: Jesus Juan Ruiz (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
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