Assessment of Resource and Forecast Modeling of Wind Speed through An Evolutionary Programming Approach for the North of Tehuantepec Isthmus (Cuauhtemotzin, Mexico)
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- @Article{Lopez-Manrique:2018:Energies,
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author = "Luis M. Lopez-Manrique and E. V. Macias-Melo and
O. {May Tzuc} and A. Bassam and K. M. Aguilar-Castro and
I. Hernandez-Perez",
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title = "Assessment of Resource and Forecast Modeling of Wind
Speed through An Evolutionary Programming Approach for
the North of Tehuantepec Isthmus (Cuauhtemotzin,
Mexico)",
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journal = "Energies",
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year = "2018",
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volume = "11",
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number = "11",
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month = nov,
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keywords = "genetic algorithms, genetic programming, wind energy,
wind characteristics, artificial intelligence,
multi-gene genetic programming, sensitivity analysis,
Matlab, GPTIPS",
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ISSN = "1996-1073",
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article-number = "3197",
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URL = "http://www.mdpi.com/1996-1073/11/11/3197",
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URL = "https://www.mdpi.com/1996-1073/11/11/3197/pdf",
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DOI = "doi:10.3390/en11113197",
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size = "22 pages",
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abstract = "This work studies the characteristics of the wind
resource for a location in the north zone of
Tehuantepec isthmus. The study was conducted using
climatic data from Cuauhtemotzin, Mexico, measured at
different altitudes above the ground level. The
measured data allowed establishing the profile of wind
speeds as well as the analysis of its availability.
Analysis results conclude that the behaviour of the
wind speed presents a bimodal distribution with
dominant northeast wind direction (wind flow of
sea-land). In addition, the area was identified as
feasible for the use of low speed power wind turbines.
On the other hand, the application of a new approach
for very short-term wind speed forecast (10 min)
applying multi-gene genetic programming and global
sensitivity analysis is also presented. Using a
computational methodology, an exogenous time series
with fast computation time and good accuracy was
developed for the forecast of the wind speed. The
results presented in this work complement the panorama
for the evaluation of the resource in an area
recognized worldwide for its vast potential for wind
power.",
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notes = "also known as \cite{en11113197}",
- }
Genetic Programming entries for
Luis Manuel Lopez-Manrique
Edgar Vicente Macias Melo
Oscar de Jesus May Tzuc
Ali Bassam
Karla Maria Aguilar Castro
Ivan Hernandez-Perez
Citations