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Wind farm prediction
- Citation Author(s):
- Submitted by:
- Lianbing Li
- Last updated:
- Fri, 11/01/2024 - 05:14
- DOI:
- 10.21227/9a94-tj73
- License:
55 Views- Categories:
- Keywords:
Abstract
This dataset comprises actual measurement data collected from a wind farm located in Xinjiang, China. It includes a range of parameters essential for understanding wind energy potential and environmental conditions. The data features wind speeds recorded at various heights—10 meters, 30 meters, 50 meters, and 70 meters—measured in meters per second (m/s). Additionally, the dataset includes wind direction at these same heights, recorded in degrees (°). Other critical environmental factors included in the dataset are temperature (°), air pressure measured in hectopascals (hPa), and humidity percentages (%). This comprehensive data is invaluable for analyzing wind patterns and optimizing wind farm operations.
This document contains actual measurement data from a wind farm in Xinjiang, China, aimed at analyzing wind energy resources and environmental conditions. The data includes wind speeds measured at different heights (10 meters, 30 meters, 50 meters, and 70 meters) in meters per second, as well as wind directions in degrees. Additionally, it records important environmental parameters such as temperature in degrees Celsius, air pressure in hectopascals, and humidity in percentage. This data is significant for assessing the power generation potential of the wind farm, optimizing turbine layout, and improving operational strategies. By conducting an in-depth analysis of this data, we can enhance wind energy utilization efficiency and support the further development of renewable energy.
