On the potential value of interval deficient wind data

Author:

Siepker E. Bernard J.,Harms Thomas M.

Funder

Ministry of Foreign Affairs of Denmark

Ministry of Foreign Affairs of Finland

United Kingdom Department for International Development

Austrian Development Agency

Namibia Power Corporation

University of Basel

Namibia University of Science and Technology

Publisher

Elsevier BV

Subject

Mechanical Engineering,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering

Reference32 articles.

1. IEC. International Standard - IEC, 2005. 61400-12-1 - Wind turbines - Part 12-1 : Power performance measurements of electricity producing wind turbines, IEC, 1. Geneva.

2. “Tall” profiles and height variation of wind statistics;Weibull-k Revisited,2014

3. A note on vertical extrapolation formulas for Weibull velocity distribution parameters;Doran;J. Appl. Meteorol.,1978

4. Abbes, D et al., 2010. Statistical study of the influence of the data sampling interval on the estimation of wind turbine energy. In: Proceedings of the International Conference on Renewable Energies and Power Quality (ICREPQ'10). European Association for the Development of Renewable Energies, Environment and Power Quality (EA4EPQ), Granada.

5. Influence of the data sampling interval in the estimation of the parameters of the Weibull wind speed probability density distribution: a case study;Ramírez;Energy Convers. Manag.,2005

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