Short-term electricity prices forecasting in a competitive market by a hybrid PSO-ANFIS approach

摘要

In this paper, a novel hybrid approach is proposed for electricity prices forecasting in a competitive market,considering a time horizon of one week. The proposed approach is based on the combination of particle swarmoptimization and adaptive-network based fuzzy inference system. Results from a case study based on the electricitymarket of mainland Spain are presented. A thorough comparison is carried out, taking into account the results ofprevious publications, to demonstrate its effectiveness regarding forecasting accuracy and computation time. Finally,conclusions are duly drawn.© 2011 Elsevier Ltd. All rights reserved.