Cargando…
Optimal Parameter Selection for Support Vector Machine Based on Artificial Bee Colony Algorithm: A Case Study of Grid-Connected PV System Power Prediction
Predicting the output power of photovoltaic system with nonstationarity and randomness, an output power prediction model for grid-connected PV systems is proposed based on empirical mode decomposition (EMD) and support vector machine (SVM) optimized with an artificial bee colony (ABC) algorithm. Fir...
Autores principales: | Gao, Xiang-ming, Yang, Shi-feng, Pan, San-bo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5585556/ https://www.ncbi.nlm.nih.gov/pubmed/28912803 http://dx.doi.org/10.1155/2017/7273017 |
Ejemplares similares
-
Artificial Bee Colony Algorithm for Solving Optimal Power Flow Problem
por: Le Dinh, Luong, et al.
Publicado: (2013) -
Short-term power load forecasting based on gray relational analysis and support vector machine optimized by artificial bee colony algorithm
por: Pang, Xinfu, et al.
Publicado: (2022) -
Dynamic population artificial bee colony algorithm for multi-objective optimal power flow
por: Ding, Man, et al.
Publicado: (2017) -
Cancer Classification Based on Support Vector Machine Optimized by Particle Swarm Optimization and Artificial Bee Colony
por: Gao, Lingyun, et al.
Publicado: (2017) -
A Multistrategy Optimization Improved Artificial Bee Colony Algorithm
por: Liu, Wen
Publicado: (2014)