An evolutionary computing approach for estimating global solar radiation

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Al-Hajj:2016:ICRERA,

• author = "Rami Al-Hajj and Ali Assi and Farhan Batch",
• booktitle = "2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA)",
• title = "An evolutionary computing approach for estimating global solar radiation",
• year = "2016",
• pages = "285--290",
• month = "20-23 " # nov,
• address = "Birmingham, UK",
• keywords = "genetic algorithms, genetic programming, Decision support systems, Evolutionary computation, Hand-held computers, climatological data, evolutionary computation, global solar radiation",
• DOI = "doi:10.1109/ICRERA.2016.7884553",
• abstract = "This paper presents a non-linear regression model based on an evolutionary computing technique namely the genetic programming for estimating solar radiation. This approach aims to estimate the best formula that represents the function for estimating the global solar radiation on horizontals with respect to the measured climatological data. First, we present a reference approach to find one global formula that models the relation among the solar radiation amount and a set of weather factors. In the second step, we present an enhanced approach that consists of multi formulas of regression in a parallel structure. The performance of the proposed approaches has been evaluated using statistical analysis measures. The obtained results were promising and comparable to those obtained by other empirical and neural models conducted by other research groups.",
• notes = "Also known as \cite{7884553}",

}

Genetic Programming entries for Rami Al-Hajj Ali Assi Farhan Batch

Citations