Distribution system state estimation (DSSE) has been introduced to monitor distribution
grids; however, due to the incorporation of distributed generations (DGs), traditional DSSE …

Energy production is one of the key enablers for human activities such as food and clean
water production, transportation, telecommunication, education, and healthcare; however, it …

When dealing with a limited number of fault samples, prevailing fault diagnosis methods
often succumb to overfitting, impeding the attainment of precise fault diagnosis. Hence, this …

This work develops a methodology for detecting faults in wind turbines through supervised
machine-learning classification methods focusing in two modes of operation. The Normal …

Wind energy is crucial in the global shift towards a sustainable energy system. Thus, this
research innovatively addresses the challenges in wind energy system fault classification …

Monitoring wind turbine performance is vital for ensuring wind turbines' safe, efficient, and
cost-effective operation over time. Using principal component analysis (PCA), k-means …

Intelligent fault diagnosis for wind energy systems requires identifying unique characteristics
to differentiate various fault types effectively, even when data discrepancy occurs due to the …

This article aims to present the real-world implementation of an anomaly detection system of
a hydraulic power unit. Implementation involved the Internet of Things approach. A detailed …

Renewable energies have a fundamental role in sustainability, with wind power being one
of the most important due to its low production costs. Modern wind turbines are becoming …

Abstract Supervisory Control and Data Acquisition (SCADA) systems are employed to collect
data from sensors and monitor the condition of wind turbines. Thresholds are commonly …