This chapter targets wind turbine (WT) energy yield modeling specifically for distributed localized energy grids. WT energy yield modeling is conducted with respect to the special characteristics, constraints, and limitations of distributed localized energy grids. It focuses on short-term PV energy yield forecasting (minutes to a few hours ahead). It highlights the most important features of short-term forecasting horizons such as fine-grained resolution terrain modeling, lidar image exploitation, global optimization.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Accurate Energy Yield Forecasting for Wind Turbine Parks

  • Dimitris Michos,
  • Andreas Kazantzidis,
  • Markos A. Kousounadis-Knousen,
  • Ioannis K. Bazionis,
  • Pavlos S. Georgilakis,
  • Michael Daenen,
  • Francky Catthoor

摘要

This chapter targets wind turbine (WT) energy yield modeling specifically for distributed localized energy grids. WT energy yield modeling is conducted with respect to the special characteristics, constraints, and limitations of distributed localized energy grids. It focuses on short-term PV energy yield forecasting (minutes to a few hours ahead). It highlights the most important features of short-term forecasting horizons such as fine-grained resolution terrain modeling, lidar image exploitation, global optimization.