Insights into the efficiencies of on-shore wind turbines: A data-centric analysis

Gürdal Ertek, Murat Mustafa Tunç, Ece Kurtaraner, Doǧancan Kebude

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

Literature on renewable energy alternative of wind turbines does not include a multidimensional benchmarking studythat can help investment decisions as well as design processes. This paper presents a data-centric analysis of commercial on-shore wind turbines and provides actionable insights through analytical benchmarking through Data Envelopment Analysis (DEA), visual data analysis, and statistical hypothesis testing. The paper also introduces a novel visualization approach for the understanding and the interpretation of reference sets, the set of efficient wind turbines that should be taken as benchmark by inefficient ones.

Original languageEnglish
Title of host publicationINISTA 2012 - International Symposium on INnovations in Intelligent SysTems and Applications
DOIs
Publication statusPublished - 2012
Externally publishedYes
EventInternational Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2012 - Trabzon, Turkey
Duration: Jul 2 2012Jul 4 2012

Publication series

NameINISTA 2012 - International Symposium on INnovations in Intelligent SysTems and Applications

Conference

ConferenceInternational Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2012
Country/TerritoryTurkey
CityTrabzon
Period7/2/127/4/12

Keywords

  • benchmarking
  • data envelopment analysis (DEA)
  • renewable energy
  • wind energy
  • wind turbines

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications

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