Abstract
This paper presents a novel hybrid algorithm to forecast day-ahead prices in the electricity market. Seeking for more accurate price forecasting techniques, this hybrid price-forecasting algorithm works based on Mutual Information (MI), Discrete Wavelet Transform (DWT), Least Squares Support Vector Machine (LSSVM) optimized by a Interactive Artificial Bee Colony (IABC) technique. The numerical simulation results show that the proposed hybrid algorithm improves the accuracy of electricity price forecasting in Spanish electricity market in comparison to previously-known classical and intelligent methods.
Original language | English |
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Title of host publication | Advances in Neural Networks - 13th International Symposium on Neural Networks, ISNN 2016, Proceedings |
Publisher | Springer Verlag |
Pages | 454-464 |
Number of pages | 11 |
Volume | 9719 |
ISBN (Print) | 9783319406626 |
DOIs | |
Publication status | Published - 2016 |
Event | 13th International Symposium on Neural Networks - St. Petersburg, Russian Federation Duration: 6 Jul 2016 → 8 Jul 2016 Conference number: 13 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 9719 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 13th International Symposium on Neural Networks |
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Abbreviated title | ISNN 2016 |
Country/Territory | Russian Federation |
City | St. Petersburg |
Period | 6/07/16 → 8/07/16 |