An evolutionary computing approach for estimating global solar radiation
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{Al-Hajj:2016:ICRERA,
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author = "Rami Al-Hajj and Ali Assi and Farhan Batch",
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booktitle = "2016 IEEE International Conference on Renewable Energy
Research and Applications (ICRERA)",
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title = "An evolutionary computing approach for estimating
global solar radiation",
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year = "2016",
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pages = "285--290",
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month = "20-23 " # nov,
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address = "Birmingham, UK",
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keywords = "genetic algorithms, genetic programming, Decision
support systems, Evolutionary computation, Hand-held
computers, climatological data, evolutionary
computation, global solar radiation",
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DOI = "doi:10.1109/ICRERA.2016.7884553",
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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.",
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notes = "Also known as \cite{7884553}",
- }
Genetic Programming entries for
Rami Al-Hajj
Ali Assi
Farhan Batch
Citations