论文代写:风力预测模型的研究分析

论文代写:风力预测模型的研究分析

例如,考虑如何在给定的时间范围内进行预测。时间范围被认为是一个固定的选择。然后,根据时间范围,进行不同形式的映射。风预测模型通常会给出最后一个选择。然而,这一选择可能会根据天气系统本身不可预测的性质而改变。目前许多系统的目标只是在实际的发电潜力出现之前预测数小时至数天的发电能力。这意味着电力系统运行必须在调节、负荷平衡和机组调度等方面提前进行平衡。然而,风力预测科学并不是一门权威科学,它最多只能对单位精度进行估计。

论文代写:风力预测模型的研究分析

迄今为止,风力预测模型的关键目标是尽可能准确地预测可发电的形式和时间。在所有模型的研究工作中,被认为是成功的模型之一是NWP模型(Foley et al ., 2012)。NWP模型是这样的,它更有吸引力,更容易操作。这是一个模型,其准确性也是目前最有效的。目前许多风电运营商也在使用NWP模型。由于预测,预测模型正成为无价的工具。它们确保在不确定的情况下更好地进行调度,而它们处理不确定的方式本身也能使它们得到更好的注意。在该领域做了大量研究,主要是为了降低使用风能的私人和公共企业面临的风险。

论文代写:风力预测模型的研究分析

For instance, consider how the forecasting is done for a given time horizon. The time horizon is considered as a fixed choice. Then, based on time horizon, different forms of mapping are done. The wind prediction models usually end up presenting one final choice. However, the choice could change based on the inherently unpredictable nature of weather systems and more. Many of the current systems only aim at forecasting the power generation capacity for hours to days before the actual power potential in the field. This means that the power system operations have to be balanced in terms of regulation, load balancing and unit scheduling activities way in advance. Wind power prediction science is however not definitive science, it can only at best be estimated to unit accuracy.

论文代写:风力预测模型的研究分析

The key aim of the wind power prediction model till date is to predict as accurately as possible the form of power that could be generated and when. In research works of all the models, one of the model which is considered a success is the NWP model (Foley et al, 2012). The NWP model is such that it is more attractive and easier to operate. It is a model whose accuracy is also the most efficient in current times. Many of the current operators of wind power also make use of the NWP model. The forecast models are becoming invaluable tools because of their predictions. They ensure better dispatch in situations of uncertainty and the way they handle the uncertainty by itself garners them better attention. Much research is done in the area mainly to reduce the risks that private and public companies using wind energy face.

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