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Analysis of possibilities to improve quality of spatial wind speed forecasts for efficient forecasting of electric energy production in onshore wind farms in Poland

机译:分析提高空间风速预报质量以有效预测波兰陆上风电场发电量的可能性

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The most important factor responsible for the quality of energy production forecasts in wind farms is the accurate wind speed forecast. An extensive statistical analysis of meteorological data (NWP) from 16 base nodes of the "300" grid in the "?ód?" area was made. The intention of the statistical analysis was to select potential explanatory variables for models predicting wind speed in the remaining 206 nodes of the grid’s mesh. Next, tests of selected prognostic methods were performed in order to compare their effectiveness with bilinear method which is not computationally complex. It should be emphasized that the main problem in spatial wind speed forecasting is the very large number of nodes for which the forecasts are calculated. As a consequence, more advanced and computationally complex forecasting methods cannot be applied in practice due to too long calculations time and difficulties in huge amounts of data processing. Conclusions with proposals of preferred forecasting methods that could be used in practice were developed.
机译:影响风电场能源生产质量预测的最重要因素是准确的风速预测。 “?d?”中“ 300”网格的16个基本节点的气象数据(NWP)的广泛统计分析区域。统计分析的目的是为模型预测网格网格的其余206个节点中的风速选择潜在的解释变量。接下来,对所选的预后方法进行测试,以将其有效性与计算复杂度不高的双线性方法进行比较。应该强调的是,空间风速预测中的主要问题是要针对其计算预测的节点数量非常大。结果,由于计算时间过长和海量数据处理中的困难,无法在实践中应用更高级且计算复杂的预测方法。结论提出了可以在实践中使用的首选预测方法的建议。

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