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Title: Predicción de la demanda de la energía eléctrica a largo plazo : un reto en ingeniería computacional
Other Titles: Long-terms predictions of electricity demand : a challenge for computer engineering
Authors: Winter Althaus, Gabriel 
Pulido Alonso, Antonio 
González Landín, Begoña 
Maarouf, Mustapha
González Guerra, Jonay 
Cruz Pérez, Manuel
Galván González, Blas 
UNESCO Clasification: 3306 Ingeniería y tecnología eléctricas
1206 Análisis numérico
Keywords: Demanda de energía eléctrica
Predicción a largo plazo
Algoritmos evolutivos
Redes neuronales artificiales
Sistemas eléctricos aislados
Issue Date: 2015
Journal: Dyna (Bilbao) 
Abstract: Both private companies and public administrations require long-term forecasts of electrical energy demand (EED). Among electric utilities are the carrier and manager of the electrical system, the generation and distribution utilities, and the trading companies; also the fuel supply companies to the generation power plants, and the public administrations responsible for the resource management and land planning, which are in charge of reserving land for placing infrastructures that ensure energy supply to the different activities developed in it. The authors have participated in the Special Territorial Plans of Energy Infrastructure Planning of various islands in the Canary Islands [1-3]. It should be noted that, if the predictions are very low, deficiencies could occur in the power supply, causing inconveniences to different economic sectors, but if they are very high, it could carry a high and unproductive economic investment.
ISSN: 0012-7361
DOI: 10.6036/7834
Source: Revista DYNA [ISSN 0012-7361], v. 90 (6), p. 582-584
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