Title :
Development of a model for short-term load forecasting with neural networks and its application to the electrical Spanish market
Author :
López, M. ; Valero, S. ; Senabre, C. ; Aparicio, J. ; Gabaldon, A.
Author_Institution :
Dipt. Ing. de Sist. Ind., Univ. Miguel Hernandez de Elche (UMH), Elche, Spain
Abstract :
The study presented in this paper used Kohonen´s Self-Organized Maps, which is one of the more uncommon techniques based on neural networks in load forecasting. The aim of this study is not only to show that this technique is capable of producing accurate short-term load forecasting results which should not be neglected, but also to provide a deep and thorough analysis of these results in order to extract solid conclusions about the inner design of the network, the selection of variables and also about the training periods. In addition, an application for the Spanish electricity market is developed.
Keywords :
load forecasting; power engineering computing; power markets; self-organising feature maps; Kohonen´s self-organized maps; Spanish electricity market; electrical Spanish market; neural networks; short-term load forecasting; Forecasting; Load forecasting; Load modeling; Predictive models; Training; Training data; Weather forecasting;
Conference_Titel :
Energy Market (EEM), 2011 8th International Conference on the European
Conference_Location :
Zagreb
Print_ISBN :
978-1-61284-285-1
Electronic_ISBN :
978-1-61284-284-4
DOI :
10.1109/EEM.2011.5953031
