Search icone
Search and publish your papers

Local short term wind speed estimation using back propagation algorithm

Or download with : a doc exchange

About the author

Level
Expert

About the document

Published date
Language
documents in English
Format
pdf
Type
term papers
Pages
14 pages
Level
Expert
Accessed
0 times
Validated by
Committee Oboolo.com
0 Comment
Rate this document
  1. Abstract
  2. Introduction
  3. Literature review
    1. Regression and ANN models
    2. Power system planning
  4. Feed forward neural network with back propagation
  5. Back propagation algorithm
  6. Automatic weather station data
  7. Data acquisition and pre-processing
  8. Data conversion and normalization
  9. Designing and training
  10. Results
  11. Conclusions
  12. References

Apart from weather forecasting, wind speed prediction is required to estimate atmospheric effects on telecommunication systems such as satellites in launch, electromagnetic signal propagation in wireless channel, inland and water vehicle navigation, air traffic control, missile guidance etc. Wind is one of the clean, naturally available, intermittent energy source, which is being harnessed for electric power generation using windmills. Hence wind speed prediction models are a part of power demand forecasting and distribution models. This paper describes the application of neural network back propagation algorithm for the estimation of wind speed at a locality with latitude 12.92 degree N and Longitude 77.5 degree E. The weather data is collected using an Automatic Weather Station (AWS). Data is retrieved into a PC, preprocessed to remove redundancy and to find correlation among parameters. It is then input to the neuronal model for estimating wind speed. The parameters chosen as input are pressure, temperature, sunshine and humidity, as preprocessing has shown these parameters to be most correlated to wind speed. Keywords: Wind speed estimation, Back propagation, Neural networks, AWS.

[...] A few of these are listed below: Accurate and timely short term forecasts of wind speed and direction are needed for Missile guidance, Air traffic control , navigation control on huge water bodies and in prediction of seasonal and periodic climatic forecasts. While the impact of a modern turbine might be slight, it is not completely eliminated. These solutions require the estimation of wind speeds at those places, typically on a daily and hourly basis i.e. in short Term. LITERATURE REVIEW Many available articles in literature show the usage of neural networks for wind speed prediction. [...]


[...] Apart from the above, literature also include Hybrid intelligent models incorporating many parameters to improve the accuracy of wind speed prediction. Some of them are - numerical weather prediction and mesoscale models generalized equivalent models[23], which includes techniques of ARMA[24], kalman filters[26], bilinear and smooth threshold autoregressive models,[27], Artificial intelligence techniques using multilayered perceptrons[28], radial basis functions[30], logic[31]and a combination of the above two[32]. recurrent neural network and fuzzy FEED FORWARD NEURAL NETWORK WITH BACKPROPOGATION[8] A neural network is a computational structure which resembles a biological neuron. [...]


[...] Sample data File DATE 2005-12-10 2005-12-10 2005-12-10 2005-12-10 2005-12-10 2005-12-10 2005-12-10 2005-12-10 2005-12-10 2005-12-10 2005-12-10 2005-12-10 2005-12-10 2005-12-10 2005-12-10 2005-12-10 2005-12-10 2005-12-10 01:00 01:10 01:20 01:30 01:40 01:50 02:00 02:10 02:20 02:30 02:40 02:50 00:00 00:10 00:20 00:30 00:40 00: TIME BAR PRES HUMIDITY MEANTEMP WINDDIR WINDGUS T WIND SPEED 2005-12-10 03: METHODOLOGY Short term wind speed prediction involves the following steps: Data Acquisition & Pre-processing Data Conversion & Normalization Statistical Analysis Design of Neural Network Training Testing Data Acquisition & Pre-processing The weather report and the related parameter values are collected at a Weather Station at periodic time intervals, say every ten minutes. [...]

Similar documents you may be interested in reading.

Short term load forecasting using artificial neural networks

 Science & technology   |  Medical studies   |  Term papers   |  06/08/2009   |   .pdf   |   6 pages

Recent documents in physics & chemistry category

Determination of Heat Capacity Ratio

 Science & technology   |  Physics & chemistry   |  Presentation   |  12/01/2017   |   .doc   |   5 pages

Helicopter control and its general models (PPT presentation)

 Science & technology   |  Physics & chemistry   |  Presentation   |  09/06/2016   |   .ppt   |   29 pages