Short-term wind power forecasting using a hybrid evolutionary intelligent approach

• 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 - 11 Citations

Other information

Authenticus ID: P-008-1HV

DOI: 10.1109/isap.2011.6082234

Abstract (EN): This paper presents a hybrid evolutionary intelligent approach, based on a combination of evolutionary particle swarm optimization (EPSO) with an adaptive-network-based fuzzy inference system (ANFIS), for short-term wind power forecasting in Portugal. The increased integration of wind power into the electric grid, as nowadays occurs in Portugal, poses challenges due to its intermittency and volatility. Hence, good forecasting tools are important for tackling these challenges. The accuracy of the wind power forecasting attained with the proposed approach is evaluated, reporting the numerical results from a real-world case study. © 2011 IEEE.

Language: English

Type (Professor's evaluation): Scientific