在本篇英国论文代写-不同风能预测模型的研究和讨论中，将比较现有的不同风能预测模型。将讨论一些较新的模型，以及在NWP模型中取得的进展。根据优缺点和获得的关键见解，从模型中收集所需的特性列表。利用这些特性，提出了一种新的理论模型。来自现有研究模型的数据在模拟环境中用于验证理论模型的某些方面。现在大家都明白了，这个理论模型并不能得到充分的验证。研究人员在这个时候提出的建议，打算采取一些关键方面的模型，并通过模拟与数据的天气，风能和更多，并提出这作为核心的讨论。本研究的目的不是为了证明模型的正确性或错误性。相反，研究的重点是提出一个新的模型。新模型试图消除现有模型中的不确定性。将来可以通过调整不同的案例场景来改进它。 接下来英国论文代写-不同风能预测模型的研究和讨论 如下：
There are no ethical issues in data collection as the data is not collected from human participants. Still, ethical issues have to be addressed in research as the data used is the secondary research data. The data will be referenced thoroughly and due credit will be given to the original author wherever possible in the main work. The original intention of the author will also be presented. Data will not be manipulated to fit a point, and the data analysis will proceed in a scientific manner.
The research philosophy adopted in this work is positivism. Positivism is a research philosophy where it is understood that the discovery of newer learning takes place in a pure scientific paradigm. Keeping to this philosophy, the analysis is conducted in as much a scientific way as possible. From the sourcing of data to the end point of data analysis, the researcher makes the work as scientific as possible. The work is exploratory style of writing. An attempt has been made to include as much discussions on the topic as well. However, the main understanding of the forecasting model is not as a social construction, but as a scientific construction. Thence, it is necessary to use positivism as the research paradigm in data collection and analysis as well.
In the uncertainty analysis and testing, the researcher intends to analyze the model critically with respect to probabilistic forecasting, by employing risk indices, and by means of multiple scenario generation, etc. In terms of probabilistic measures in specific, the variable units used are the quantiles, interval forecasts and probability density function (pdf).
In conclusion, this research work makes use of a thorough understanding of the existing forecast models with respect to the wind energy. Now existing forecast models suffer from pros and cons, and for a better understanding of a futuristic model, it is necessary to do an exploratory study. This research work primarily presents a thorough exploratory analysis by means of its research background and literature review sections. Secondly, collection of key features of the existing forecast models is then made use of to construct an alternate futuristic model in theory. Aspects of the model are tested out in simulation with actual data.