New horizontal global solar radiation estimation models for Turkey based on robust coplot supported genetic programming technique

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{Demirhan:2015:ECM,
  author =       "Haydar Demirhan and Yasemin Kayhan Atilgan",
  title =        "New horizontal global solar radiation estimation
                 models for Turkey based on robust coplot supported
                 genetic programming technique",
  journal =      "Energy Conversion and Management",
  volume =       "106",
  pages =        "1013--1023",
  year =         "2015",
  ISSN =         "0196-8904",
  DOI =          "doi:10.1016/j.enconman.2015.10.038",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0196890415009607",
  abstract =     "Renewable energy sources have been attracting more and
                 more attention of researchers due to the diminishing
                 and harmful nature of fossil energy sources. Because of
                 the importance of solar energy as a renewable energy
                 source, an accurate determination of significant
                 covariates and their relationships with the amount of
                 global solar radiation reaching the Earth is a critical
                 research problem. There are numerous meteorological and
                 terrestrial covariates that can be used in the analysis
                 of horizontal global solar radiation. Some of these
                 covariates are highly correlated with each other. It is
                 possible to find a large variety of linear or
                 non-linear models to explain the amount of horizontal
                 global solar radiation. However, models that explain
                 the amount of global solar radiation with the smallest
                 set of covariates should be obtained. In this study,
                 use of the robust coplot technique to reduce the number
                 of covariates before going forward with advanced
                 modelling techniques is considered. After reducing the
                 dimensionality of model space, yearly and monthly mean
                 daily horizontal global solar radiation estimation
                 models for Turkey are built by using the genetic
                 programming technique. It is observed that application
                 of robust coplot analysis is helpful for building
                 precise models that explain the amount of global solar
                 radiation with the minimum number of covariates without
                 suffering from outlier observations and the
                 multicollinearity problem. Consequently, over a dataset
                 of Turkey, precise yearly and monthly mean daily global
                 solar radiation estimation models are introduced using
                 the model spaces obtained by robust coplot technique
                 and inferences on the sensitivity of the amount of
                 global solar radiation to covariates and the magnitude
                 and direction of effect of covariates on the global
                 solar radiation are drawn.",
  keywords =     "genetic algorithms, genetic programming, Coplot,
                 Correlation coefficient, ESRA, ESRI, Estimation, Eureqa
                 Pro, Horizontal global solar radiation, Modelling,
                 Outlier, Robust estimation",
}

Genetic Programming entries for Haydar Demirhan Yasemin Kayhan Atilgan

Citations