Wavelet-neuro-fuzzy approach for predicting short-term electricity prices in a competitive market

• Type: Article in International Conference Proceedings Book
• Date: 2010

Authors

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

Conference proceedings International

Title: IET Conference Publications

7th Mediterranean Conference and Exhibition on Power Generation, Transmission, Distribution and Energy Conversion, MedPower 2010

Agia Napa, 7 November 2010 through 10 November 2010

Indexing

Scopus - 0 Citations

Other information

Authenticus ID: P-007-XG7

DOI: 10.1049/cp.2010.0849

Abstract (EN): In a competitive framework, producers and consumers require short-term electricity prices prediction to derive their bidding strategies to the electricity market. Accurate forecasting tools are required for producers to maximize their profits and for consumers to maximize their utilities. In this paper, a wavelet-neuro-fuzzy approach is proposed for short-term electricity prices prediction. Results from a real-world case study based on the electricity market of mainland Spain are presented. Finally, conclusions are duly drawn.

Language: English

Type (Professor's evaluation): Scientific