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Títulos: Estimation of the electricity demand of La Palma Island (Spain)
Autores/as: González, Begoña 
Pulido, Antonio 
Martínez, Miguel 
Winter, Gabriel 
Clasificación UNESCO: 1206 Análisis numérico
220203 Electricidad
Palabras clave: Electric demand
Flexible evolution algorithm
Peak powers
Prediction model
Robust design optimization
Fecha de publicación: 2015
Editor/a: Springer
Publicación seriada: Computational Methods in Applied Sciences 
Conferencia: 10th EUROGEN International Conference 
10th International Conference on Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences, 2013 
Resumen: Historical data of electricity demand in La Palma island (Spain) were collected and electricity demand estimates conducted by different organizations were sought. Some factors that could affect these data were studied and its predictions by the next years were looked for. The idea was to use these factors as explanatory variables in order to predict the values of electricity demand in the next years. Moreover, with the aim of minimizing the limitation of predicting the future based only on relationships between variables that occurred in the past, it has been considered the annual demand forecast for various scenarios, taking into account, for each of them, different variations of the explanatory variables. All that with the goal that the estimate band of the demand for each year includes the real future demand with high probability. This provided a prediction model that takes into account population and gross domestic product. Results and their graphical representation along with the other estimates found are presented. A similar approach was carried out to predict peak powers.
ISBN: 978-3-319-11540-5
ISSN: 1871-3033
DOI: 10.1007/978-3-319-11541-2-32
Fuente: Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences. Computational Methods in Applied Sciences / Greiner D., Galván B., Périaux J., Gauger N., Giannakoglou K., Winter G. (eds) , v. 36, p. 487 - 500
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