This paper provides an exhaustive and updated review on power curve based applications, the most common anomaly and fault types including their root-causes, along with data preprocessing and correction schemes (i., filtering, clustering, isolation, and others), and modeling. The Global Wind Atlas is a free, web-based application developed to help policymakers, planners, and investors identify high-wind areas for wind power generation virtually anywhere in the world, and then perform preliminary calculations. By interpreting these curves, planners can predict the performance of a wind turbine at a specific site. These analysts use power curve analysis to monitor and optimize turbine. In the wind energy industry, the power curve represents the relationship between the “wind speed” at the hub height and the corresponding “active power” to be generated. It is the most versatile condition indicator and of vital importance in several key applications, such as wind turbine selection. With evolving trends and ever-growing data, using robust data analytics solutions such as DataCalculus can streamline transforming raw measurements into insightful reports.
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