Performance Analysis of ANFIS in short term Wind Speed Prediction
Results are presented on the performance of Adaptive NeuroFuzzy
Inference system (ANFIS) for wind velocity forecasts in the
Isthmus of Tehuantepec region
in the state of Oaxaca, Mexico. The
data bank was provided by the
meteorological station located
at the University of Isthmus, Tehuantepec campus, and this
data bank covers the period from
2008 to 2011. Three data models
were constructed to carry out
16, 24 and 48 hours forecasts
using the following variables:
wind velocity, temperature,
barometric pressure, and
date. The performance measure
for the three models is
the mean standard error (MSE). In
this work, performance analysis
in short-term prediction is presented,
because it is essential in order to define an adequate wind speed model
for eolian parks, where a right
planning provide economic benefits.
Keywords: Wind, fuzzy, neural, ANFIS, prediction
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ABOUT THE AUTHORS
Ernesto Cortes Perez
Ernesto Cortes Perez received his M.S. degree in Computer Science, from ITA-LITI (Laboratory research on intelligent technologies) in Apizaco, Tlaxcala, Mexico. Since 2007 he has been Professor- Research at the University Isthmus, Oaxaca, Mexico. His current research interests include Intelligent Systems, Fuzzy Logic, Patterns Classification, Artificial Neuro-Fuzzy Networks, Bio-Inspired Algorithms and Artificial Vision.
Ignacio Algredo-Badillo
Ignacio Algredo-Badillo received the B.Eng in Electronic Engineering from Technologic Institute of Puebla (ITP) in 2002 and the M.Sc and Ph.D degrees in Computer Science from National Institute for Astrophysics, Optics and Electronics (INAOE) in 2004 and 2008, respectively. Since 2009, he has been professor of Computer Engineering at University of Istmo. He has involved in the design and development of digital systems, reconfigurable architectures, software radio platforms, cryptographic systems, FPGAs implementations, microcontrollers-based systems and hardware acceleration for specific applications.
Vãctor Hugo Garcãa Rodrãguez
Victor Hugo Garcia Rodriguez received the M. Sc. degree in Electronic Engineering from Universidad de las Americas Puebla (UDLAP) in Cholula, Puebla, Mexico. Since 2002 he has been research professor at the University of Isthmus, Oaxaca, Mexico. His current research interests include power electronics, instrumentation and control.
Ernesto Cortes Perez
Ernesto Cortes Perez received his M.S. degree in Computer Science, from ITA-LITI (Laboratory research on intelligent technologies) in Apizaco, Tlaxcala, Mexico. Since 2007 he has been Professor- Research at the University Isthmus, Oaxaca, Mexico. His current research interests include Intelligent Systems, Fuzzy Logic, Patterns Classification, Artificial Neuro-Fuzzy Networks, Bio-Inspired Algorithms and Artificial Vision.
Ignacio Algredo-Badillo
Ignacio Algredo-Badillo received the B.Eng in Electronic Engineering from Technologic Institute of Puebla (ITP) in 2002 and the M.Sc and Ph.D degrees in Computer Science from National Institute for Astrophysics, Optics and Electronics (INAOE) in 2004 and 2008, respectively. Since 2009, he has been professor of Computer Engineering at University of Istmo. He has involved in the design and development of digital systems, reconfigurable architectures, software radio platforms, cryptographic systems, FPGAs implementations, microcontrollers-based systems and hardware acceleration for specific applications.
Vãctor Hugo Garcãa Rodrãguez
Victor Hugo Garcia Rodriguez received the M. Sc. degree in Electronic Engineering from Universidad de las Americas Puebla (UDLAP) in Cholula, Puebla, Mexico. Since 2002 he has been research professor at the University of Isthmus, Oaxaca, Mexico. His current research interests include power electronics, instrumentation and control.
