SinoXivDetecting abnormal internal temperatures in inverters is a critical aspect of ensuring the safe operation of power equipment. To address the shortcomings of existing methods in detecting minute therma...
Dynamic data distributions, system failures, and low-latency, cost-effective processing are becoming more of a challenge to modern real-time data pipelines. Current streaming architectures are based o...
Timely and accurate electricity price forecasting is essential for the efficient operation of competitive electricity markets. However, predicting day-ahead electricity prices remains challenging due ...
Two principal paradigms dominate in automated defect detection: convolutional neural network (CNN)-based approaches and proprietary non-CNN algorithmic methods. The optimal choice depends on the targe...
Anomaly detection in complex industrial scenarios requires models that characterize normal patterns and maintain high sensitivity to subtle anomalies. Generative Adversarial Networks (GANs) have attra...
Wind power curve is a core characteristic describing the relationship between wind speed and turbine output power, which is crucial for wind farm operation monitoring and anomaly detection. However, t...
Superconducting magnets for particle accelerators are particularly challenging to design because they involve a large number of coupled physical phenomena and the management of complex datasets. Artif...
