风电机组风速预测研究数据集

提出一种风电场虚拟风速传感器工作原理和基本构架，以风电场“机联网”平台为基础，构建风电场风速传感器的虚拟数字孪生体，实现对机组风速传感器运行状态的状态感知、智能诊断和风速映射，实现机组采集数据的实时共享和交互。数据来源融合集成。

This work proposes the working principle and basic architecture of a virtual wind speed sensor for wind farms. Leveraging the wind turbine internet of things (WT-IoT) platform as the foundation, a virtual digital twin of wind farm wind speed sensors is developed, which enables state awareness, intelligent diagnosis, and wind speed mapping for the operating status of the turbine-installed wind speed sensors, alongside real-time sharing and interaction of the data collected by the wind turbine units. Furthermore, data sources are fused and integrated.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于风电机组风速预测研究，提出了一种基于数字孪生技术的风电场虚拟风速传感器解决方案，旨在实现机组风速传感器的状态感知和智能诊断。数据集包含2个文件，总大小为176.02KB，属于可再生能源发电技术领域。