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

• Type: Article in International Scientific Journal
• Date: 2012

Authors

Pousinho, HMI (Author) Other; Mendes, VMF (Author) Other; Catalao, JPS (Author) Other

Journal

Title: International Journal of Electrical Power and Energy Systems

Vol. 39

Pages: 29-35

ISSN: 0142-0615

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 78 Citations

Scopus - 98 Citations

Other information

Authenticus ID: P-002-8T9

DOI: 10.1016/j.ijepes.2012.01.001

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 7