FORECASTING OF WIND SPEED AND DIRECTIONS IN KIRKLARELI, TURKEY BY SIMPLE MULTILAYER PERCEPTRON

SEKER, Serhat and CETIN AKINCI, Tahir and NOGAY SELCUK, Hidir (2013) FORECASTING OF WIND SPEED AND DIRECTIONS IN KIRKLARELI, TURKEY BY SIMPLE MULTILAYER PERCEPTRON. INTERNATIONAL SYMPOSIUM ON SUSTAINABLE DEVELOPMENT (ISSD2013) "ENERGY ISSUES AND SOLUTIONS" (1). ISSN 2233-1565

[img] Text
FORECASTING OF WIND SPEED AND DIRECTIONS IN KIRKLARELI, TURKEY BY SIMPLE MULTILAYER PERCEPTRON.docx

*- Download (11kB)
[img]
Preview
Text
FORECASTING OF WIND SPEED AND DIRECTIONS IN KIRKLARELI, TURKEY BY SIMPLE MULTILAYER PERCEPTRON.pdf

*- Download (83kB) | Preview
Official URL: http://issd.ibu.edu.ba/

Abstract

Keywords: Artificial neural network, Multilayer Perceptron, back propagation, forecasting, wind speed and wind directions. ABSTRACT Artificial neural network model was used for short term wind speed and wind directions forecasting in the Kirklareli area, located in the Marmara region of Turkey in this paper. Using data of 2010 year that was obtained from State Meteorological Service. A simple ANN model was used in this study. The mean squared error and approximation values for training of this model were 0.231491 and 0.994802, respectively. Only 153 data was used in this study. 38 data of them was used for testing and validation of the Multilayer Perceptron. The ANN model used in the study has produced satisfactory results. The model can be used by the Kirklareli Electric Utility Control Center.

Item Type: Article
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
H Social Sciences > HB Economic Theory
H Social Sciences > HE Transportation and Communications
T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TD Environmental technology. Sanitary engineering
T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology > TS Manufactures
Divisions: Faculty of Engineering and Information Technologies > Information Technologies Department
Depositing User: Users 173 not found.
Date Deposited: 31 May 2013 09:50
Last Modified: 31 May 2013 09:50
URI: http://eprints.ibu.edu.ba/id/eprint/2127

Actions (login required)

View Item View Item