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英国音乐学论文代写:风力发电预测的研究分析

大多数关于风力发电预测的当代工作被认为是基于当前对可再生能源的需求和用途。特别值得注意的是,当前风能的使用有所增加,全球范围内的风电增加约24.3万千瓦,今年增加了4倍,即203.5万千瓦。据报道,电力系统的平衡被调整,以确保需求不会增加对生产的挑战。风力发电作为一种可再生能源,在进行需求分析时也要考虑发电能力。需求是不能长期抑制的,多年来增加风电需求是绝对必要的。作为一系列波动的能量,也需要对能量流的变化进行规划。


英国音乐学论文代写 :风力发电预测的研究分析

事实上,目前大多数研究都集中在如何弥补这些差异上。目前已知的一个因素是风能需求是可调节的。然而,向可再生能源的转变为太阳能和风能等可再生能源创造了巨大的市场。风能存在的问题主要是由于风能依赖于天气。正是在这种背景下,有必要建立风能的电力预测模型。关于风力发电的研究,主要集中在如何利用对天气的依赖优势。更重要的是,如何在不同的时间尺度上使用可变和间歇性的喷射是这些研究的重点。准确的预测可能是困难的,但目标是尽可能准确,使风电使用可靠,这是本研究的重点。只有提高可靠性和准确性,大规模的风电集成才有可能实现。


英国音乐学论文代写 :风力发电预测的研究分析

Most of the contemporary work on wind power forecasting is seen to be based on the need for renewable energy sources and uses in the current times. In particular, it is noted that wind energy uses have increased in current times and worldwide the power increase has resulted in around 24.3 GW to an amount of four-fold increase which is 203.5 GW this year. The power system balance is reportedly adjusted in order to ensure the demands do not increase challenging the production. Wind-power being a renewable energy source it is necessary to ensure that the generation capacity should also be considered when analyzing for demand. Demands cannot be suppressed for long and it is absolutely necessary to work on increasing wind power demands over the years. As a series of fluctuating energy, it is necessary to plan for the variations in energy flow, too.


英国音乐学论文代写 :风力发电预测的研究分析

Most current research is in fact focused on how to compensate for the variations. Now it is a known factor that wind energy demands are adjustable. However, the conversion to renewable energy sourcing has created vast markets for renewables such as solar energy and wind energy. The problems and issues in wind energy are mainly because of wind energy being dependent on the weather. It is in this context that there is a need for power forecasting models for wind energy. Research studies on wind power generation, focused on on how to use weather dependency to advantage. More importantly, how to use variable and intermittent spurts over different time scales was the focus of these studies. Accurate forecasting might be difficult, but it is the focus of this study to aim to be as accurate as possible to make wind power use reliable. Large scale wind power integration would be possible only when reliability and accuracy are increased .