预测风电场风力输出和涡轮机转速的机器学习方法

IF 2.3 4区工程技术 Q3 ENERGY & FUELS

Energy Sources Part A-recovery Utilization and Environmental Effects Pub Date : 2024-08-25 DOI:10.1080/15567036.2024.2392890

Akin Ilhan, Sergen Tumse, Mehmet Bilgili, Besir Sahin

引用次数: 0

摘要

要有效管理风力涡轮机发电厂产生的能量并优化其运行性能，准确的风能预测变得越来越重要。在这项研究中，...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Machine learning approaches in predicting the wind power output and turbine rotational speed in a wind farm

Accurate wind energy forecasting has become increasingly important to effectively manage the energy produced by wind turbine power plants and optimize their operational performance. In this study, ...

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Energy Sources Part A-recovery Utilization and Environmental Effects 工程技术-工程：化工

CiteScore

4.40

自引率

6.90%

发文量

488

审稿时长

1.7 months

期刊介绍： Energy Sources Part A: Recovery, Utilization, and Environmental Effects aims to investigate resolutions for the continuing increase in worldwide demand for energy, the diminishing accessibility of natural energy resources, and the growing impact of energy use on the environment. You are invited to submit manuscripts that explore the technological, scientific and environmental aspects of: Coal energy sources Geothermal energy sources Natural gas Nuclear energy sources Oil shale energy sources Organic waste from energy use Petroleum Solar energy sources Tar utilization Sand utilization Wind energy.