Application of an intelligent system based on EPSO and ANFIS to price forecasting

• Type: Article in International Conference Proceedings Book
• Date: 2011

Authors

Catalao, JPS (Author) Other; Osorio, GJ (Author) Other; Pousinho, HMI (Author) Other

Conference proceedings International

Title: 2011 16th International Conference on Intelligent System Applications to Power Systems, ISAP 2011

2011 16th International Conference on Intelligent System Applications to Power Systems, ISAP 2011

Hersonisos, Crete, 25 September 2011 through 28 September 2011

Indexing

Scopus - 5 Citations

Other information

Authenticus ID: P-008-1HA

DOI: 10.1109/isap.2011.6082232

Abstract (EN): This paper proposes evolutionary particle swarm optimization (EPSO) combined with an adaptive-network-based fuzzy inference system (ANFIS) for short-term electricity prices forecasting. In a deregulated framework, producers and consumers require short-term price forecasting 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. The accuracy of the price forecasting attained with the proposed intelligent system is thoroughly evaluated, reporting the numerical results from a real-world case study. © 2011 IEEE.

Language: English

Type (Professor's evaluation): Scientific