首页    期刊浏览 2025年03月01日 星期六
登录注册

文章基本信息

  • 标题:Solar Power Plant Generation Short-Term Forecasting Model
  • 本地全文:下载
  • 作者:Stanislav Eroshenko ; Elena Kochneva ; Pavel Kruchkov
  • 期刊名称:MATEC Web of Conferences
  • 电子版ISSN:2261-236X
  • 出版年度:2018
  • 卷号:208
  • DOI:10.1051/matecconf/201820804004
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:Recently, renewable generation plays an increasingly important role in the energy balance. Solar energy is developing at a rapid pace, while the solar power plants output depends on weather conditions. Solar power plant output short-term forecasting is an urgent issue. The future electricity generation qualitative forecasts allow electricity producers and network operators to actively manage the variable capacity of solar power plants, and thereby to optimally integrate the solar resources into the country's overall power system. The article presents one of the possible approaches to the solution of the short-term forecasting problem of a solar power plant output.
国家哲学社会科学文献中心版权所有