澳洲作业代写:数据研究的有效性和可靠性

澳洲作业代写:数据研究的有效性和可靠性

为这项工作生成的数据的形式在本质上是理论性和假设性的。本研究是对不同类型模型的探索性研究。在对模型优缺点进行深入研究的基础上,对模型的形式和最适合风电预测的框架提出建议。现在风力预测需要针对不同的地区进行,因为不同的地区会有不同的天气变化。为此,本研究工作只考虑澳大利亚地区、新南威尔士州以及该地区的天气来考虑预报模型。

将使用的数据是以前的预测模型数据,来自现有的研究证据。这些数据的来源和引用将是正确的,因此,如果有必要,本研究工作的读者将能够访问原始数据。所使用的数据也将在理论上得到支持,以便向读者提供理解数据的背景。

澳洲作业代写:数据研究的有效性和可靠性

为了保证数据的有效性和可靠性,本研究将对所使用的数据、数据收集的形式、分析中使用的技术、所作的任何假设以及更多的细节进行说明。这样,任何其他想从事这项工作的研究人员都可以在相同的路线上模拟这项工作。数据的可靠性是通过使用来自同行评审的学术研究的数据来保证的。来自非学术资源的数据可能用于支持分析,但将很少使用。

澳洲作业代写:数据研究的有效性和可靠性

The form of data that would be generated for this work is theoretical and hypothetical in nature. The research is an exploratory investigation into the different types of models. Based on a thorough investigation of the pros and cons of the model, the research would make recommendations on the form of model and the framework that could be best used for wind power forecasting. Now the wind power forecasting needs to be done specific to locations as different locations will have difference in variations of weather. For this purpose, this research work will only consider regions in Australia, New South Wales and the weather in this region to consider the forecast model.
The data that would be made use of is the previous forecast model data from the existing research evidence. These data would be sourced and referenced properly, so the reader of this research work would be able to access the original data if necessary. The data used will also be supported theoretically so as to present the reader the context of understanding the data.

澳洲作业代写:数据研究的有效性和可靠性

In order to ensure the validity and the reliability of the data, the data being used, the form of data collection, the techniques employed in analysis, any assumptions made and more would be given in detail in the research. This way any other researcher who wants to undertake this work and research on the same lines would be able to simulate the work. The reliability of data is assured by making use of data only from peer reviewed scholarly research studies. Data from non-scholarly resources might be used to support the analysis but will be used sparsely.

 

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