http://iet.metastore.ingenta.com
1887

Data-driven methods for prediction of small-to-medium wind turbines performance

Data-driven methods for prediction of small-to-medium wind turbines performance

For access to this article, please select a purchase option:

Buy chapter PDF
£10.00
(plus tax if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
Wind and Solar Based Energy Systems for Communities — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

The growth in the wind energy is rapidly increasing. Accurate modelling of wind turbines performance as targeted by ongoing research studies can escalate wind energy production capabilities, reliability, and expand its potential to replace fossil fuels. In addition, optimisation of turbines will considerably expand the profit margins and garner the attraction of investors.

Chapter Contents:

  • Abstract
  • 2.1 Introduction
  • 2.2 SCADA data treatment
  • 2.2.1 Mean or median value
  • 2.2.2 K-Nearest neighbour
  • 2.2.3 Expectation–maximisation
  • 2.2.4 Decision tree
  • 2.3 Feature selection
  • 2.3.1 Correlation coefficients
  • 2.3.2 Principal component analysis
  • 2.3.2.1 Off-line PCA
  • 2.3.2.2 Recurrent PCA
  • 2.4 Modelling design networks
  • 2.4.1 Multi-layer perceptron
  • 2.4.2 Adaptive neuro-fuzzy inference system
  • 2.4.3 Static and dynamic networks
  • 2.4.4 Fusion
  • 2.4.5 Estimation and prediction
  • 2.4.6 Performance evaluation
  • 2.5 A case study
  • 2.5.1 Data pre-processing
  • 2.5.1.1 Data range
  • 2.5.1.2 Outlier detection
  • 2.5.1.3 Missing values
  • 2.5.2 Monitoring networks
  • 2.6 Conclusion
  • References

Inspec keywords: power generation reliability; wind turbines; wind power plants

Other keywords: wind energy production capabilities; small-to-medium wind turbine performance prediction; reliability; fossil fuels; data-driven methods; profit margins

Subjects: Wind power plants; Reliability

Preview this chapter:
Zoom in
Zoomout

Data-driven methods for prediction of small-to-medium wind turbines performance, Page 1 of 2

| /docserver/preview/fulltext/books/po/pbpo130e/PBPO130E_ch2-1.gif /docserver/preview/fulltext/books/po/pbpo130e/PBPO130E_ch2-2.gif

Related content

content/books/10.1049/pbpo130e_ch2
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address