Hybrid approach based on particle swarm optimization for electricity markets participation
Abstract In many large-scale and time-consuming problems, the application of metaheuristics becomes essential, since these methods enable achieving very close solutions to the exact one in a much shorter time. In this work, we address the problem of portfolio optimization applied to electricity mark...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2019-01-01
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| Series: | Energy Informatics |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s42162-018-0066-7 |
| _version_ | 1818575572063748096 |
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| author | Ricardo Faia Tiago Pinto Zita Vale Juan Manuel Corchado |
| author_facet | Ricardo Faia Tiago Pinto Zita Vale Juan Manuel Corchado |
| author_sort | Ricardo Faia |
| collection | DOAJ |
| description | Abstract In many large-scale and time-consuming problems, the application of metaheuristics becomes essential, since these methods enable achieving very close solutions to the exact one in a much shorter time. In this work, we address the problem of portfolio optimization applied to electricity markets negotiation. As in a market environment, decision-making is carried out in very short times, the application of the metaheuristics is necessary. This work proposes a Hybrid model, combining a simplified exact resolution of the method, as a means to obtain the initial solution for a Particle Swarm Optimization (PSO) approach. Results show that the presented approach is able to obtain better results in the metaheuristic search process. |
| first_indexed | 2024-12-15T00:42:48Z |
| format | Article |
| id | doaj.art-c2f2f038eb4142ad8862c1ea7f47fcb2 |
| institution | Directory Open Access Journal |
| issn | 2520-8942 |
| language | English |
| last_indexed | 2024-12-15T00:42:48Z |
| publishDate | 2019-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Energy Informatics |
| spelling | doaj.art-c2f2f038eb4142ad8862c1ea7f47fcb22022-12-21T22:41:38ZengSpringerOpenEnergy Informatics2520-89422019-01-012111610.1186/s42162-018-0066-7Hybrid approach based on particle swarm optimization for electricity markets participationRicardo Faia0Tiago Pinto1Zita Vale2Juan Manuel Corchado3GECAD – Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, Polytechnic of Porto (ISEP/IPP)BISITE Research Centre, University of Salamanca (USAL)Polytechnic of Porto (ISEP/IPP)BISITE Research Centre, University of Salamanca (USAL)Abstract In many large-scale and time-consuming problems, the application of metaheuristics becomes essential, since these methods enable achieving very close solutions to the exact one in a much shorter time. In this work, we address the problem of portfolio optimization applied to electricity markets negotiation. As in a market environment, decision-making is carried out in very short times, the application of the metaheuristics is necessary. This work proposes a Hybrid model, combining a simplified exact resolution of the method, as a means to obtain the initial solution for a Particle Swarm Optimization (PSO) approach. Results show that the presented approach is able to obtain better results in the metaheuristic search process.http://link.springer.com/article/10.1186/s42162-018-0066-7Hybrid modelMetaheuristic searchParticle swarm optimization and portfolio optimization |
| spellingShingle | Ricardo Faia Tiago Pinto Zita Vale Juan Manuel Corchado Hybrid approach based on particle swarm optimization for electricity markets participation Energy Informatics Hybrid model Metaheuristic search Particle swarm optimization and portfolio optimization |
| title | Hybrid approach based on particle swarm optimization for electricity markets participation |
| title_full | Hybrid approach based on particle swarm optimization for electricity markets participation |
| title_fullStr | Hybrid approach based on particle swarm optimization for electricity markets participation |
| title_full_unstemmed | Hybrid approach based on particle swarm optimization for electricity markets participation |
| title_short | Hybrid approach based on particle swarm optimization for electricity markets participation |
| title_sort | hybrid approach based on particle swarm optimization for electricity markets participation |
| topic | Hybrid model Metaheuristic search Particle swarm optimization and portfolio optimization |
| url | http://link.springer.com/article/10.1186/s42162-018-0066-7 |
| work_keys_str_mv | AT ricardofaia hybridapproachbasedonparticleswarmoptimizationforelectricitymarketsparticipation AT tiagopinto hybridapproachbasedonparticleswarmoptimizationforelectricitymarketsparticipation AT zitavale hybridapproachbasedonparticleswarmoptimizationforelectricitymarketsparticipation AT juanmanuelcorchado hybridapproachbasedonparticleswarmoptimizationforelectricitymarketsparticipation |