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Hybrid Wavelet-PSO-ANFIS Approach for Short-Term Electricity Prices Forecasting

Title
Hybrid Wavelet-PSO-ANFIS Approach for Short-Term Electricity Prices Forecasting
Type
Article in International Scientific Journal
Year
2011
Authors
Pousinho, HMI
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Mendes, VMF
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Journal
Vol. 26 No. 2
Pages: 137-144
ISSN: 0885-8950
Publisher: IEEE
Other information
Authenticus ID: P-002-VC2
Abstract (EN): A novel hybrid approach, combining wavelet transform, particle swarm optimization, and adaptive-network-based fuzzy inference system, is proposed in this paper for short-term electricity prices forecasting in a competitive market. 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. Finally, conclusions are duly drawn.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 8
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