کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
399908 | 1438761 | 2012 | 7 صفحه PDF | دانلود رایگان |
In this paper, a novel hybrid approach is proposed for electricity prices forecasting in a competitive market, considering a time horizon of 1 week. The proposed approach is based on the combination of particle swarm optimization and adaptive-network based fuzzy inference system. Results from a case study based on the electricity market of mainland Spain are presented. A thorough comparison is carried out, taking into account the results of previous publications, to demonstrate its effectiveness regarding forecasting accuracy and computation time. Finally, conclusions are duly drawn.
► A novel hybrid approach is proposed for electricity prices forecasting.
► The proposed approach is based on the combination of PSO and ANFIS.
► A thorough comparison is carried out, taking into account the results of previous publications.
► A good forecasting accuracy is achieved, while a reduced computation time is required.
Journal: International Journal of Electrical Power & Energy Systems - Volume 39, Issue 1, July 2012, Pages 29–35