Data for: Multi-step wind speed prediction based on turbulence intensity and hybrid deep neural networks

Published: 31-03-2020| Version 1 | DOI: 10.17632/zc7g3vm345.1
Contributor:
Fei Li

Description

This dataset provides reader to get real-time turbulence intensity data corresponding to the wind speed time series on multiple time resolutions. The dataset is comprised of two parts: original wind speed series, and multi-resolution wind speed and turbulence intensity. The original wind speed dataset gives the wind observation on different altitudes on the wind farm, such as speed, fluctuation, direction, maximum, minimum, as well as air conditions, with a sampling rate of 10 minutes from Jan. 1,2013 to Dec. 31, 2013. Multi-resolution wind speed and turbulence intensity dataset provides the average wind speed and turbulence intensity on different time scales (1 hour, 2 hours, 4 hours, 6 hours, 12 hours and 24 hours), which is calculated from the highest altitude where the wind speed is obtained.

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