AJES Cover
Frequency: Bi-Monthly
ISSN: 1553-345X (Print)
ISSN: 1558-3910 (Online)
Research Article Open Access

A Meteorological Tower Based Wind Speed Prediction Model Using Fuzzy Logic

Sardar Maran Poongavanam1 and Ponnusamy Ramalingam2
  • 1 Sathyabama University, India
  • 2 , India

Abstract

A number of wind speed prediction methods are available for estimating wind energy availability. In recent years there is a lot of research works carried out to predict wind speed by using mathematical and soft computing techniques. In this study the wind speed profile at different heights are predicted with the available meteorological tower data. The wind speed data at 02, 08, 16, 32 and 50 m levels of a meteorological tower is used to predict and develop fuzzy logic model beyond the height of the 50 meter tower. The experimental research gives the best performance for the wind speed prediction at various heights.

American Journal of Environmental Sciences
Volume 9 No. 3, 2013, 226-230

DOI: https://doi.org/10.3844/ajessp.2013.226.230

Submitted On: 9 January 2013 Published On: 7 May 2013

How to Cite: Poongavanam, S. M. & Ramalingam, P. (2013). A Meteorological Tower Based Wind Speed Prediction Model Using Fuzzy Logic. American Journal of Environmental Sciences, 9(3), 226-230. https://doi.org/10.3844/ajessp.2013.226.230

Open AccessCopyright: © 2013 Sardar Maran Poongavanam and Ponnusamy Ramalingam. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

  • 3,308 Views
  • 4,056 Downloads
  • 9 Citations

Download

Keywords

  • Wind Speed
  • Wind Energy
  • Fuzzy Logic
  • Neural Network