Base station wind power supply performance abnormality

What are the shortcomings of AI anomaly detection system of wind power equipment?

Appropriate methods can be used to balance data to avoid misjudgment caused by data imbalance.However, at present, the AI anomaly detection system of wind power equipment has some shortcomings, including insufficient allocation of computing resources, poor generalization ability of system model and difficult to ensure data security.

Can a CNN-based anomaly detection system be used in wind power?

The research on anomaly detection systems and methods for WPE based on AI has become a hot topic in the field of wind power. This article adopted a CNN-based method to construct a WPE anomaly detection system, and the effectiveness of this method has been verified through experiments.

What is a data model based on wind power curves?

The first type is the data model based on wind power curves for anomaly data cleaning. Kusiak A et al. used the dataset proximity technique to identify the anomalies by comparing the distances between the data, which requires a large amount of normal data for training to complete the model, and the generalization ability is relatively poor .

Why is wind power data processing important?

The integrated application of wind power data processing helps to promote the development of the clean energy industry, realize sustainable energy supply, and further reduce dependence on traditional energy sources . Some research results have been achieved in the area of cleaning and identification of WTG data by researchers.