Forecasting hourly electricity demand in Spain using a revised version of the Cancelo‐Espasa Model

Caro Huertas, Eduardo and Juan Ruiz, Jesús and Cara Cañas, Francisco Javier (2017). Forecasting hourly electricity demand in Spain using a revised version of the Cancelo‐Espasa Model. In: "ISEA2017. International Symposium on Energy Analytics 2017. Predictive Energy Analytics in the Big Data World", June 22-23, 2017, Cairns, Australia. pp. 1-37.

Description

Title: Forecasting hourly electricity demand in Spain using a revised version of the Cancelo‐Espasa Model
Author/s:
  • Caro Huertas, Eduardo
  • Juan Ruiz, Jesús
  • Cara Cañas, Francisco Javier
Item Type: Presentation at Congress or Conference (Other)
Event Title: ISEA2017. International Symposium on Energy Analytics 2017. Predictive Energy Analytics in the Big Data World
Event Dates: June 22-23, 2017
Event Location: Cairns, Australia
Title of Book: ISEA2017. International Symposium on Energy Analytics 2017. Predictive Energy Analytics in the Big Data World
Date: 2017
Subjects:
Faculty: E.T.S.I. Industriales (UPM)
Department: Ingeniería de Organización, Administración de Empresas y Estadística
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The Cancelo‐Espasa Model is a great procedure for hourly electrcity demand forecasting (IJF,2008) that has been used for 30 years by the Spanish TSO (REE).

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainBIA2014-59321-C2-1-RUnspecifiedUnspecifiedPROGNOSIS Y ANALISIS INTEGRADO DE LAS VIBRACIONES INDUCIDAS POR EL HOMBRE EN ESTRUCTURAS

More information

Item ID: 51174
DC Identifier: http://oa.upm.es/51174/
OAI Identifier: oai:oa.upm.es:51174
Official URL: http://www.drhongtao.com/isea
Deposited by: Memoria Investigacion
Deposited on: 26 Nov 2018 15:58
Last Modified: 26 Nov 2018 15:58
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