Data supporting the reconstruction study of missing wind speed logs using wavelet techniques for getting maximum likelihood

Dora Cama-Pinto; Pastor David Chávez-Muñoz; Andres Felipe Solano-Escorcia; Alejandro Cama-Pinto

doi:10.1016/j.dib.2020.105835

Data supporting the reconstruction study of missing wind speed logs using wavelet techniques for getting maximum likelihood

Data Brief. 2020 Jun 11:31:105835. doi: 10.1016/j.dib.2020.105835. eCollection 2020 Aug.

Authors

Dora Cama-Pinto¹, Pastor David Chávez-Muñoz², Andres Felipe Solano-Escorcia³, Alejandro Cama-Pinto³

Affiliations

¹ Department of Computer Architecture and Technology, University of Granada, 18071 Granada, Spain.
² Department of Engineering, Pontificia Universidad Católica del Perú, Av. Universitaria 1801, San Miguel, Lima 32, Lima, Perú.
³ Department of Computer Science and Engineering Electronic, Universidad de la Costa, Calle 58 No. 55-66, Barranquilla, Colombia.

Abstract

The data to construct the missing wind-speed value in the weather station record at "Collado de Yuste", between the years 2002 to 2012, was calculated using wind speed data recorded in two other nearby weather stations, those in "Solana del Zapatero" and "Calar Alto". The three mentioned stations are located in the mountain range of the province of Almeria, Autonomous Community of Andalusia, Spain. After calculating the degree of association using the correlation coefficient [1] and Wavelet Transform Scalogram [2], the data was successfully constructed. This paper refers to another study: Wind missing data arrangement using wavelet based techniques for getting maximum likelihood [3].

Keywords: Data filling; Fast Fourier transform; Missing data; Renewable energy; Wavelet transform; Wind data.