Coastal Wind Power Forecasting Research Scheme Design

Author:

Xu Shiwei

Abstract

As global resource and environmental problems become increasingly acute and climate change becomes more and more obvious, the large-scale development and utilization of new energy sources are highly valued by all countries in the world. Wind energy is highly valued because of its many advantages. Wind power, especially offshore wind power, has become one of the key development directions of renewable energy. To address the problem that coastal wind farms are in urgent need of accurate wind power forecasting, the authors of this paper investigate and summarize the relevant research work in this field. At the same time, the coastal meteorological micro-scale differences are obvious, and a research program for coastal wind farm power forecasting is designed to lay the foundation for subsequent specific research for the characteristics of this region.

Publisher

Darcy & Roy Press Co. Ltd.

Reference25 articles.

1. Qu Zongxi. Research on some difficult problems in wind speed combination prediction strategy [D]. Lanzhou University, 2019.

2. Ge Weichun, Sun Peng, Li Jiajue, et al. Robust estimation model for wind power prediction confidence under different scenarios during peak load hours of power grid[J]. High Voltage Technology, 2019, 45(04): 1281-1288.

3. Sun R.F., Zhang T., He Q., et al. A review of key technologies and applications for wind power prediction[J]. High Voltage Technology, 2021, 47(04): 1129-1143.

4. Wu, Dao-Lin. Research on short-term wind power forecasting methods [D]. Anhui University of Engineering, 2017.

5. Wang Y. S. Research on short-term wind power output power prediction based on deep learning [D]. Inner Mongolia Agricultural University, 2021.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3