Application of support vector machine model in wind power prediction based on particle swarm optimization

DOI10.3934/dcdss.2015.8.1267zbMath1352.68204OpenAlexW2526280317MaRDI QIDQ258598

Ning Lu, Ying Liu

Publication date: 10 March 2016

Published in: Discrete and Continuous Dynamical Systems. Series S (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/dcdss.2015.8.1267

zbMATH Keywords

predictionparameter optimizationparticle swarm optimizationsupport vector machinewind power generation

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Approximation methods and heuristics in mathematical programming (90C59) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Cites Work

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• Adaptive time-mesh refinement in optimal control problems with state constraints
• Convergence analysis of the numerical method for the primitive equations formulated in mean vorticity on a Cartesian grid