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Comparative Analysis of Regression and Artificial Neural Network Models for Wind Turbine Power Curve Estimation

  • Texas A&M University-Kingsville
  • Missouri University of Science and Technology
  • Texas Tech University

Research output: Contribution to journalArticlepeer-review

Original languageAmerican English
Pages (from-to)327-332
Number of pages6
JournalJournal of Solar Energy Engineering, Transactions of the ASME
Volume123
Issue number4
DOIs
StatePublished - Nov 1 2001
Externally publishedYes

ASJC Scopus Subject Areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology

Keywords

  • Learning (Artificial Intelligence)
  • Neural Nets
  • Parameter Estimation
  • Power Engineering Computing
  • Statistical Analysis
  • Wind Power Plants
  • Wind Turbines

Disciplines

  • Electrical and Computer Engineering

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