Title
Data-driven methods for prediction of smallto- medium wind turbines performance
Document Type
Article
Publication Date
1-1-2018
Publication Title
Wind and Solar Based Energy Systems for Communities
First Page
5
Keywords
Data-driven methods, Fossil fuels, Power generation reliability, Profit margins, Reliability, Reliability, Small-to-medium wind turbine performance prediction, wind energy production capabilities, Wind power plants, Wind power plants, Wind turbines
Last Page
26
Abstract
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.
DOI
10.1049/PBPO130E.ch2
ISBN
9781785615443
Recommended Citation
Morshedizadeh, Majid; Carriveau, Rupp; and Ting, David S.K.. (2018). Data-driven methods for prediction of smallto- medium wind turbines performance. Wind and Solar Based Energy Systems for Communities, 5-26.
https://scholar.uwindsor.ca/mechanicalengpub/137