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

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4 Author(s)
Ertek, G. ; Fac. of Eng. & Natural Sci., Sabanci Univ., Istanbul, Turkey ; Tunc, M.M. ; Kurtaraner, E. ; Kebude, D.

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.

Published in:

Innovations in Intelligent Systems and Applications (INISTA), 2012 International Symposium on

Date of Conference:

2-4 July 2012