Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/21178
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| Title: | Short-term electricity prices forecasting in a competitive market by a hybrid PSO-ANFIS approach |
| Authors: | Catalao, J. P. S.
Pousinho, H. M. I.
Mendes, V. M. F. |
| Keywords: | Electricity market
Fuzzy logic
Neural networks
Price forecasting
Swarm optimization |
| Issue Date: | 2012 |
| Citation: | Catalao, J. P. S.; Pousinho, H. M. I.; Mendes, V. M. F.Short-term electricity prices forecasting in a competitive market by a hybrid PSO-ANFIS approach, INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 39, 1, 29-35, 2012. |
| Abstract: | In this paper, a novel hybrid approach is proposed for electricity prices forecasting in a competitive market,
considering a time horizon of one 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.
© 2011 Elsevier Ltd. All rights reserved. |
| URI: | http://hdl.handle.net/10174/21178 |
| Other Identifiers: | 0142-0615 |
| Type: | article |
| Appears in Collections: | FIS - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
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Departamento de Física /
FIS - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica /
